API

gizamo

...which is roughly 0.00000001% of the API fee. Lol. Again, Google execs hate Matt Hoffman. They bent him over a barrel.

RoboiosMut

API access is just the legal way to scrap data, you can still use crawlers to steal data from any website

smashnmashbruh

I thought that happened when they changed the API access.

sarhoshamiral

A dev needs to ensure models have good guidance amd produces something that makes sense, that meets the requirements and be able to still understand the system in case you need to diagnose something when models fail. Thats going to require a lot of experience. Your assembly example isnt appropriate here because compilers are deterministic, they are algorithm driven. We can reason about their correctness. My personal experience with a large code base is that the productivity gain is maybe 10-20% most. Models start to have a lot of trouble with API context if the API isnt in their training data. The context windows only work so much. They can output decent code but I am now spending most of the time directing models instead. so same time, just different work.

thelucky10079

thanks, a combination of gemini, chatgpt and claude did all of it, even the graphing and color scheme. i just loaded up option and IBKR API stuff into the project file as a reference and they did all the work. I started in Nov with data collecting via IBKR and got to charts and stuff just recently, still dialing in all the things. just having the AI cram in as much as i can get away with. The AI also put in reminders and explanations of what this means, lol I haven't had much luck with data outside of market hours with IBKR, but I take snapshots every 10 minutes and so i can just run through those. IBKR has an async "wrapper" for their API that makes it easier to work with. I didn't want to pay high data fees so i went with a brokerage too.

EnvironmentalCan381

Compounding pharmacist here. If you compound with API for sq injections it is just as effective. I have been compounding intrathecal pain meds (high risk). It’s different concentration for every patient so it’s not always available. We don’t have to “submit studies to prove” it’s inferior or not. It will be crazy if every compounded drug needs to have studies submitted.

Ok-Sense-2111

Wow, I'm impressed. How long have you been using yours? I just built it so I'm still refining and testing.. Still have to double check the data against other services and stuff. Schwab API isn't as useful when the market isn't open... the data gets stale. How is IBKR? I don't want to have to pay for a service or for a datafeed so hopefully I can make the most of this for now.

Ok-Sense-2111

I agree with those of you saying the data is "naive". You are right, that is the data that the Schwab API provides. I'm okay with that for now for multiple reasons. The first of which.. this is a proof of concept and this is a free data feed I have access to. Secondly, I don't trade on the tick like many traders who use 2nd order Greeks. I trade on the 5 minute and so there's a fair amount of built in confirmation that you can receive from the price action. And lastly, I always confirm the moves with market internals. If I don't see the moves confirmed by VOLD / VOLSPD and TICK / TIKSPC then I will wait till I'm sure. Traders trade differently and different tools have different places in our toolboxes. I appreciate all the feedback and interest. I'm still just amazed at what anybody can build with the data we have freely available.

AnotherToken

Its not just the API, the oral delivery method isnt new either. Wait till they realize that the patents are already expiring in some markets.

Affectionate_Idea800

These points are all valid, but they are not the moats: 1) Most large companies bought from at least two RPA vendors , just in case one fails, like most of the financial sectors still prefer Blue Prism. And Microsoft give their RPA for free as part of their licensing deal and charge much more later for heavy use. 2) IT departments ready sick and tired of these IT consulting firms coming in and built a separate RPA team that needed their extra support, which burdens them with tons of RPA related IT issues, and created extra cost for the company. 3) When Open AI and other AI companies through providing API services, gathered enough business processes data, and learn the skills, they are going to replacing RPA software all together, that is the sad truth.

March-Rude

It’s using the API but they are their own discounts backed by the Gov not GoodrX

Affectionate_Idea800

This company’s software is so redundant now, they are using Open AI’s technology to create their so called “agentic AI”, which is just glorify API connectors, IT department hates it, and it will be replaced by actual AI software in a few years, this company makes “MS Excel macro” level of automation that exits since 1993! Just asked yourself if this RPA technology is so good, why only PATH listed, where are other competitors?

ranman0

I bet 50-70% of reddit posts and comments are bots. It's the whole platform. Their API and platform dont do anything to discourage it and it drives revenue for them.

AKdemy

If mm stands for market making, don't use Bloomberg. It lacks accuracy and is not fast enough. The API is very limited and if you also want a surface, BVOL costs extra, isn't guaranteed to be arb free and also not real time. If it's market making - I suggest looking into something like https://voladynamics.com/#. - I disagree with the suggestion to do it yourself, unless you have a lot of resources, quants, devs and time at your disposal.

skilliard7

OpenAI's revenue would likely be much higher from enterprise API usage and revenues from paid users.

zjz

i'm actually working on the reincarnation of him rn, self hosted, no LLM API guardrails, custom tools so he can do shit. grok-esque in how it'll behave but also with full knowledge of what's going on moment to moment. hopefully.

Creative-Sherbet-584

All of the junior engineers out there think because they can vibe code a simple web app Accounting Systems, FDA Software, Logistics Software, Massive POS systems, will be vibe coded. I've worked in banking and insurance industries. We had no less than 500 applications running at a time. Some in the cloud, some not. Most of the time one API call would chain through 15-20 webservices hitting so many distributed databases with differing levels of security. All with differing levels of redundancy and fail-safes. These would all reach out to vendors to pull data and retrieve information. Processes and queue's would be kicked off down stream for data storage and then some actuary nerds would call us and complain because data was misaligned some how. Guess what. AI isn't doing shit in a system like that. Those systems are so jammed up with state by state, by business, by filed ratings, by time stamp regulations you can't touch it. You modify that rate in the wrong way you have the state combing your records and your paying fines. Most industries are like that. As that context gets massive AI really struggles. It's great for creating small apps, and will help in developing apps in these large scale environments. But they will be tinny tiny little pieces of a massive system. It may change the development landscape in 10 - 20 years from now when AI models have gotten better and work patterns have adapted to build out systems in a way it can utilize it better. But the narrative software is obsolete in a few years is hilarious. You really think the 50,000 software engineers at Amazon, Google, and Microsoft quiet quit for the past 20 years? You can't make up for 20 years of software progress with a fast typing machine. Let's be real. lol.

MrDerivatix

Hey OP. I’m unaware of your context but Bloomberg’s tick-by-tick is probably an overkill (and expensive) for most 0DTE setups unless you’re running a legit HFT desk. PapaCharlie9 gave you useful alternative, but in case you prefer to outsource this problem, you can check out ORATS. They have a live data API that runs with <10 seconds of market delay, which for 0DTE mm is more than fast enough unless you’re competing with Citadel’s colos. Just beware, is not “cheap”. Pricing-wise, the intraday recurring data is around $199/mo. Not cheap, not Bloomberg-expensive. For me the data quality on the IV surface is genuinely better than what you’ll get from most retail-facing providers because they’re fitting a parameterized curve (slope + derivative) rather than just spitting out raw mid-market IVs. For the real pros that need sub-second updates you’re probably looking at OPRA feed direct or through a vendor like LiveVol/CBOE DataShop. What’s your actual latency requirement? That’ll narrow it down fast.

dumbass-ahedratron

The API is not new

SAnderson1986

Do you use an API? How can 3 of the last 4 posts here be from you??

Portfoliana

Solid approach. Reddit sentiment is genuinly one of the best leading indicators for small caps – the problem is scaling it manually. You can’t realistically monitor 50+ subreddits yourself every day. If you want the raw data without relying on third party dashboards, check out the [Adanos Reddit Sentiment API](https://adanos.org/reddit-stock-sentiment) – it tracks mention velocity and sentiment across all the major stock subs in realtime. I combine that with volume spike alerts to filter out the pure hype plays from tickers that actualy have institutional interest building. Sentiment spike + unusual volume is the combo that’s worked best for me.​​​​​​​​​​​​​​​​

Portfoliana

For 500+ stocks you probably want something with an API so you can set them up programatically. stockalert.pro has a public API and also Python/JS SDKs on GitHub – you could script all 500 alerts in a few minutes. Free tier gives you 20 alerts, premium is unlimted. Way more scaleable than clicking through Yahoo Finance manually.​​​​​​​​​​​​​​​​

Portfoliana

Google Alerts is garbage for stocks honestly, way too much noise and half the articles are irrelevant SEO spam. For notification fatigue the key is being selective about what actualy deserves an alert. I only monitor three things: unusual volume spikes (often front-runs news), insider transactions, and key technical levels breaking. Everything else is just noise that makes you overtrade. I use stockalert.pro for the technical/volume stuff – you set your conditions once and only get an email when something actually triggers, no daily digest spam. For sentiment I occasionaly check what Reddit is saying about my holdings through the Adanos sentiment API, which is surprisingy useful as a contrarian indicator. For news I just skim Bloomberg and Reuters headlines once in the morning. Daily is enough – checking more often dosn’t improve your returns, it just increases your anxiety.​​​​​​​​​​​​​​​​

chevronphillips

Similar experience here. But with OpenAI. API i built with OpenAI worked great initially, then it just started giving me trash hallucinatory results. Far too unreliable for me to bother again

KnockKnockPizzasHere

My company pays for a lot of software (marketing agency) and since May of last year I have been hiring and building to make our own software in custom dashboards that are way quicker, more functional for our needs and workflows, and we’re cutting that software line on the budget. CRMs with full lead attribution, AI powered inbox management, custom reporting. Now instead of paying for a bunch of seats for software we only need 50% of anyway (so much bloat), we use much cheaper API and MCP connections to pull what we need, store the data ourselves, and make our own dashboards. The first time I ever used Replit I called my business partner and said the future is here and SaaS is cooked. For about two weeks I thought we’d be the one selling custom tools to people, but now all of my entrepreneur friends and colleagues just build your own. One of my clients replaced his entire accounting suite for his D2C ecom brand with a local tool he built with Claude Code (he is a software engineer).

JustAGuy10024

I work in the cloud space on the enterprise side. The technology IS transformational. People tend to look at Google and therefore AI through a just consumer lens which is understandable but a mistake. The disruption AI has brought and is bringing is very real. The use cases I'm seeing get deployed via API access (meaning enterprises leveraging AI models inside of their own software and services) are already incredible and are just getting started. I'm not convinced that OAI is going to be a company 2 years from now but I'll bet my left and right arm that GOOG is just getting started. Dumb money will bet against them. They are the best positioned company on the planet right now wrt the disruptive force that is AI.

RecursivelyYours

I have created an app and api that scans SEC filings using AI and does exactly that. It's called stockainsights and it basically digs into full SEC filings (AI pulls key stories too, tons of things) with 12+ years of normalized data and a ton of metrics, and it exposes a full API, very accurate because it has been normalized with the help of AI and NOT XBRL parsing. There is a free tier to test it if you like.

sarhoshamiral

It also doesn't really know "how" to code. It knows how to repeat patterns that have been used before and newer models like Opus does this at a very high cost. I kind of laugh at Claude ads suggesting "we now run 10 models at a time to let you choose the best solution" but asterisk is users pay for that not Claude. Try this to see limits of AI models today: Get a new not previously known npm/nuget package with some documentation and ask it to code a scenario using it. You can very quickly reach the context window if the API is complex enough. So the package owner would have to craft instructions specific to AI models. Now do this for every new package and the costs quickly add up. It is going to make a lot of routine tasks easier for sure but someone still has to be creative about new concepts.

Loopy_beetle

No way. I mean we have a code base where a frontend has 100+ components The team that owned the application before wrote all unit tests using copilot. 41% coverage. One THOUSAND test cases. Jest takes 15 minutes to even start. Hell the application takes close to 20 minutes to even build. And now I have to sort out the "coverage problem" and slowly turn into the Joker as I go through this code base with API clients being created a million times for every component and duplications in the double digits. That being said, I do think it does an okay job as a reviewer. Good at catching type issues and the such. You can always laugh at it and discard a solution when it tries to solve a problem shoving in a loop inside a loop. But then it does in an odd way reveal a path you might not have thought of indirectly. Useless for system design though. Ask it for any solution and it'll suggest some proprietary cloud solution as the "best solution" everytime. I don't doubt for a second they're already running ads on that front.

SpezEsUnHDP

I think you could reasonably claim, that for a dev team that has a lot of repetitive work (standing up API endpoints to do X Y Z, over and over again for different resources), you would get decent gains in how quickly you get that done. AI is very good at "copy this but change it in this way". Even if it's wrong, this type of scaffolding is superior to what we had before, saves a ton of time building things from scratch

30thCenturyMan

About a year and a half ago I was put in charge of a project to stand up a Linux based DNS management system. The product they wanted to use had an API and my boss wanted to use it to make sure that the migration from the old system to the new was working properly. So I set out to make a series of scripts that would interact with the API and do what we wanted. I tried using ChatGPT and it was awful. Couldn’t keep the thread going, kept making the same mistakes over and over again. It was able to help with the unit tests, but it it took a month before I cobbled together enough code to get the job done. Fast forward to this week and one of the servers in the cluster dies and the supposed HA capabilities didn’t kick in properly. To make a long story short, I was talking to the AI, trying to fix the issue, and I casually mention that I might need to use the API to rebuild the records from a backup. Immediately it wrote a whole script to do just that. I didn’t even ask it directly, I was just complaining and it did it and it fucking works.

BunnyReturns_

>Sometimes I'm surprised how good it is, other it can't do the simple task I asked it to do. Today I asked it to write a unit test for a function. Not only did it write three tests I didn't ask for and fail to write the one I did ask for, it removed some existing tests that were working Yeah, I used an AI to create a app that was using an auto-translator It built a webpage, it built an API integration, it built a database, most of it worked flawlessly with minor adjustments. But it could not translate the word "Cheese". 20 attempts, starting new sessions, different way of describing the issue I got 20 variations of "Ah I see the problem, now I have fixed it" It never successfully translated cheese..

Zeitzen

I'm a software engineer with 12 years of experience and I've tried multiple AIs over the past year. At the beginning they were all kind of terrible, giving you code that didn't compile as they hallucinated random API calls that didn't exist and the code overall wasn't understandable/clean. It was only good enough for simple stuff or tools that didn't need to be perfect since they were internal. I was definitely in the AI doomer train, wondering when the bubble was going to explode because AI was so bad. Lately though, Gemini has been pretty good when doing small stuff that doesn't require knowing my project architecture, like a shader, C# extensions or UI classes. Claude Code though.... It's something else, you give it access to your GitHub repo and you can ask it to do something complex and it does pretty good work. It does need oversight because if not you'll end up with code that's inconsistent or overly complex, but overall it does help a lot, especially when you have the architecture already in place and can tell it to follow already existent patterns. I hate that it's this good and try to limit my use as I can feel my brain rotting if I depend on it too much, but some days I work 4 hours and feel like I made the progress I'd make in 2 days. I still think AI is overpriced, but I can see real use for it. I wonder what will happen with fresh software developers, if companies rely on seniors + AI and are not willing to train juniors, are we going to see less people get into CS and maybe form new startups due to not being able to find a job? And what happens when the seniors die? Not saying it's looking bleak but.... I think things will change

elansaaaa36

I have been building my trading tool using UW API I try to find out total GEX Delta on a given day by providing a ticker. The tool also pulls DP data and see if both have a bullish/bearish pattern. This gives me an indication of the trend. Working on building a tool that has the most GEX change across all tickers, UV API subscription has rate limits unless I take the premium option which is obviously expensive . Will check on ThetaData. Tried Polygon and ORATS too.

FullMoon_Mars

Polymarket is giving $RDDT a 92% chance to beat earnings, looks like the play for today Reddit is Capex light AI Social stonk. Meta, Snap and Google showed the ad business is good. Reddit's Core Strategy: AI, Data, & Search: Games 🎮, Ads, Global Expansion 30 Languages, Massive growth potential 🌎🌏🌍🤳 Market Cap: 28B Debt Free Short Interest: 16%🌋 $110B Emplifi a private software company partnered with Reddit (Enterprise API )🔥

Little-rippa

At this rate, the consumers will be asked to code their own software. The company just provides an API link.

BarryBurkman

GOOG gonna moon tomorrow. “Itwas a tremendous quarter for Alphabet and annual revenues exceeded $400 billion for the first time," CEO Sundar Pichai said in initial reaction to the report. "The launch of Gemini 3 was a major milestone and we have great momentum. Our first-party models, like Gemini, now process over 10 billion tokens per minute via direct API use by our customers, and the Gemini App has grown to over 750 million monthly active users”

DisjointedHuntsville

Not if you're using it in a field with measurable quality degradation everyday :( Antigravity is great though as is AI Studio and the API. The model on the API is SO much smarter than what they provide for a paid plan on Gemini

alegrefranz

If their 'new tools' are just API calls to Claude, they lose pricing power because the value accrues to the model (Anthropic), not the interface. Re: PLTR... I don't think it's hiding anymore. US commercial revenue just grew \~137% YoY. That is the real story right now government contracts pay the bills, but the commercial explosion is the rocket fuel.

MitchCurry

I agree, the logic on the SaaS death companies is not really really logical to me. It's original list did include other companies that made more sense (APPN, for example) but I changed the minimum market cap to $5B to get some crappier companies off the list. Check the link in my original comment for all the reasoning. For Twilio: **Agent-to-Agent Communication:** Twilio’s revenue depends on human-to-human SMS and Voice volume. As AI agents begin to communicate with other AI agents via direct API protocols (skipping the carrier/telecom layer entirely), the need for traditional communication "plumbing" vanishes. For Zoom: **The End of Synchronous Presence:** Zoom’s value is the "live human call." With high-fidelity "Virtual Twins" and asynchronous AI agents that can attend, participate, and summarize meetings on your behalf, the premium on real-time video infrastructure collapses.

pink_ego_box

Don't be emotional and rotate to another stock/sector. This website is not a serious advertising platform and they sold API access to LLMs for peanuts.

MaybeaDingoAteUrBaby

I could understand if people brought this point up, but they have not. The main reason it fell to begin with is that their revenue increase is questionable because they have a cyclical investing loop with OpenAI. Microsoft invests massively in OpenAI, OpenAI then buys cloud compute/storage from Microsoft. Ergo, Microsoft is artificially inflating their own revenue growth since the news claims Microsoft and OpenAI have no monetization strategy to show for their investments. However, as a software developer, I disagree. I think OpenAI's API and potential e-commerce platform/fees will change that - but even more so, Codex has astronomical promise for monetization in the next 5-10 years. I believe a lot of what we're seeing is panic selling because a few institutional investment firms are shedding technology for oil and rare earth minerals and other commodities which are becoming scarce.

eyerollingsex

AI trading bots dumping the market so their owners cannot afford API tokens is basically digital suicide

uutnt

>Are you aware of GOOGs num 100 change and how it impacted Reddit? I was not. Having read about it, it seems like this primarily impacts websites using google API for tracking search rankings. I don't think the big players are using Google for their search integration. Most of the large LLM's have their own crawlers. It's worth noting that Google currently pays Reddit for data access, so that is a positive indicator.

skilliard7

> Their valuation isnt tied to fundamentals Their valuation is like 2x their estimated 2030 revenue, which I'd argue is on the cheapest side for a high growth startup. $500 Billion is dirt cheap compared to the market cap of the companies they are replacing(such as Google) >and they have no moat.  I'd argue they have a moat.. - They the best model on the market for most use cases - Their API is integrated with lots of software. - They have a lot of brand value(Most people choose to download ChatGPT even though Gemini is built into android, Google Chrome, gmail, etc). You can have your own anecdotal opinions about Gemini, but the fact that most consumers go out of their way to use ChatGPT despite Gemini being forced upon Android/Chrome/gmail users is proof that ChatGPT has a strong moat. If Gemini was truly a better product, people would stick with it rather than spend time to download a different one from the Play store.

IllllIIlIllIllllIlll

I haven't moved on, I'm still regularly mass deleting all my comments as a protest against the API.

sargrvb

I would never invest in a social media company unless it rewards good content creators and good moderation. The selling of information and ads trails that. Reddit has bad, and growing to be worse, data collection. And as you said with the API changes, the content creation AND moderation is worse here. The bots have also ALWAYS been bad here, and getting worse. I think it's a poisoned asset personally. The Payless Shoes of social media. It will go bust, it's going to take a decade or two though.

-Crash_Override-

Are you ok dude? You're not keeping up. We are not talking about OpenAPI...we are talking about OpenAIs API... > honestly anything serious is running on langchain/langgraph (pss.. using deepseek when nobody is watching cause it’s free) I see you don't work for a major US company lol. Most companies, while they have langgraph in their stack, will aggressively steer away from it in production use. Favoring DSPy, or something like bedrock. As for deepseek...lmao.

intelhb

I don’t know what startups/competitors you’re talking about specifically, but as far as API the OpenAPI standard has nothing to do with OpenAi and honestly anything serious is running on langchain/langgraph (pss.. using deepseek when nobody is watching cause it’s free)

uaadda

> real competitor with a functioning service that actually works… yes but Waymo does not build their own cars, so they are suuuuuper dependent in that regard. Imagine Jaguar said tomorrow "no more API access lol".

-Crash_Override-

Wut? I'm in no way an OAI fanboy, it's by far my least used service of the big three. But to think there is no demand? ChatGPT is synonymous with 'AI' to 90% of people. Copilot and its massive user base is running on chatGPT. They've made their API more accessible and cost efficient than their competitors, so all these wrapper startups are using GPT. Profitability discussion aside, they remain resource constrained, and the demand is still growing.

Tim_Apple_938

I’m saying that people were never ditching traditional search for AI search (neither ChatGPT nor Gemini). The big switch you’re alluding to simply never happened. It was in your imagination, which is why you can’t assign any numbers to it. My point about AI search calling search engines was more subtle. Meaning even if people did stop using traditional search and used AI search, ChatGPT’s results are literally just google results and Google could charge them to use the API. (But that doesn’t really matter as, again, people never stopped using traditional search)

Apoxie

Key competitors compete on foundational models, API services, and enterprise AI solutions: - Anthropic: Renowned for the "Claude" model, focusing on safety, ethics, and long-context capabilities. - Google DeepMind: Competes directly with Gemini models across text, image, and video generation. - Meta: Provides Llama, a leading open-weight model, allowing developers to build without vendor lock-in. - xAI: Elon Musk's company, developing Grok, with rapid advancements and integration into Tesla vehicles. - Mistral AI: Known for high-performance, efficient open-weight models. - Cohere: Specializes in enterprise-focused natural language processing. - DeepSeek: Focused on efficiency and cost-effective, high-reasoning models for specialized tasks. And probably a good number of chinese competitors i dont know about.

Bright_Albatross649

everything dumping because how else are they going to pay for the API keys

AdmRL_

No one mentioned coding? But regardless, Copilot uses GPT-5 but layers it in abstraction and guardrail overheads, it has a smaller context window than the OpenAI API and the Gemini API so I'm really not sure what your point was? It also has nothing comparable to either Codex or Gemini CLI. If the topic is coding, then Copilot shouldn't even be in the conversation - Opus, Sonnet, GPT-5.2-Codex, Gemini, Kimi K2-Thinking, Kimi K2.5 and DeepSeek all steamroll it for deterministic workflows. Copilot's only benefit over others is native integration with M365, but since MCP development integrating a model with a service is a trivial task now.

DreamfulTrader

UK is only TastyTrade and IKBR, only 2 choices you have. You have Alpaca but they only provide API and no user interface. UK does not want you to make money on markets but they offer you gambling like CFD, spread betting alternatives At 18 with no savings or income from job, they will not let you open accounts. They are regulated to not allow people to risk money they don't have. All regulated brokers do so. Many young people open futures accounts and lie on the application to get through. A young guy killed himself recently thinking he owes the broker thousands of money when his options closed against him. Just google it. This is the risk all is clear when you sign up.

upside_win222

I want to comment on the bot thing. I made a post in the redditstock sub, but I'll give the TLDR here (and any developers feel free to chime in): Timeline: Inception-Pre-IPO: Reddit API was SUPER open. Apps like Apollo (RIP) was able to tap into it completely uncensored. Hence, bypassing any ads. Post-IPO to Mid/late December: API was still open-ish to hobby devs like me. I could hit the API 100 times every 10 minutes or so. Not too shabby. Mid/late December-now: it is nearly **IMPOSSIBLE** to be approved for a dev API key. Do a search on reddit and you will see many people running into the same problem. They want you to use Devvit in the platform now. So I can see it being super hard to make bots to make POST requests, unless you use Pupeteer but that's also a lot of hosting $$. With that being said, the very positive sentiment in this thread for is concerning. Time to inverse reddit.

DisjointedHuntsville

If you've created a single program requiring voice, leave alone a video game, you wouldn't say that. Look at Cyberpunk - Each dialog choice presented to the user on a SIDE quest has an entire tree of different dialog choices needed to be recorded, edited, perfected. Each choice. Now multiply that by the number of choices in the game , the ambient NPC dialog etc. . . you see where im going with this. Its a massive logistical exercise and is now an API call.

skilliard7

Short term: Investor funding Long term: Digital ads can make them $200 Billion+ a year in revenue, going by how much money Google makes from them currently. Add in revenue from paid subscriptions and API usage which are growing 3x YoY, and it's pretty obvious that OpenAI has a path to covering their commitments.

agrlekk

Here’s a clear overview of **how ChatGPT (and the company behind it) is likely to make money 5 years from now** — based on trends, business models, and how AI products evolve: --- ## 📌 1. **Subscription Services (Direct to Consumers)** The ChatGPT-style product will continue offering tiered paid plans, e.g.: **• Premium and Pro plans** * Faster response times * Priority access to new features * Higher limits on uses * Specialized models (e.g., code-writing, creativity, advanced reasoning) **• ChatGPT in Apps & Ecosystems** * Paid mobile or desktop apps * Integration with other productivity tools (email, docs, calendar) under subscription bundles **Why this remains strong:** steady, predictable recurring revenue from millions of users. --- ## 📌 2. **Enterprise & Business Solutions** Large organizations will pay for tailored AI solutions: **• Custom AI Models** Businesses can get models fine-tuned on their data. **• Integration Services** AI built into internal workflows — customer support bots, knowledge assistants, document analysis, etc. **• Usage-based Enterprise APIs** Companies pay based on volume of API calls or compute used. **Value:** much higher per-customer revenue than consumer subscriptions. --- ## 📌 3. **Developer & API Ecosystem** Developers will build apps using GPT technology. **• Pay-per-use API access** OpenAI already makes money this way; this will grow as more apps include AI features. **• Marketplace for AI Plugins / Extensions** Developers create and sell add-ons that enhance ChatGPT capabilities (e.g., industry-specific tools). --- ## 📌 4. **Platform & Plugin Partnerships** ChatGPT may become a platform where third parties pay to operate or be featured: **• App Store-like plugin marketplace** Developers pay fees or revenue share for distribution. **• Verified enterprise or industry plugins** Banks, legal data providers, and medical services could pay to integrate their databases securely. --- ## 📌 5. **Advertising (Carefully Scoped)** While not a big focus today, select monetized discovery and recommendation features could emerge: **• Sponsored results or suggestions in non-core contexts** Shown only when useful (not invasive). **• Promotional AI tools in partner apps** Paid placements within business integrations. --- ## 📌 6. **Selling AI-Generated Digital Goods** As the capability of AI expands: **• Custom content services** On-demand design, writing, media generation for users or businesses. **• Licensing of trained models or outputs** Specialized versions for entertainment, education, or research. --- ## 📌 7. **Vertical Industry AI Products** AI adapted for regulated or specialized industries: **• Healthcare AI tools** Clinical summarization, medical record analysis. **• Legal and financial analytics assistants** These often command premium pricing and require compliance. --- ## 📌 8. **Data & Insight Services (Ethical and Compliant)** Not selling user data, but **selling insights** such as: * Market trends aggregated from anonymized usage * Analytics dashboards for business users * AI-driven forecasting tools Strict privacy rules are critical here. --- ## 🎯 Summary: Multiple Revenue Streams | Revenue Stream | Likelihood in 5 Years | Key Advantage | | ------------------------- | --------------------- | ------------------------------- | | Subscriptions (Consumers) | Very High | Predictable recurring income | | Enterprise products | Very High | High-value contracts | | APIs & Developer Tools | Very High | Growth from ecosystem | | Platforms & Plugins | High | Network effects + fees | | Advertising | Medium | Careful, selective monetization | | Industry AI tools | High | Premium specialized solutions | | Digital goods & services | Medium-High | Expands market reach | | Data insight products | Medium | Adds business value ethically | --- ## 🔮 Big Picture In 5 years, revenue won’t come from **just one** source. Instead, ChatGPT’s business model will likely be a **diversified ecosystem** tying: ✅ individual user subscriptions ✅ developer/platform economics ✅ enterprise and industry-specific products ✅ partner integrations and marketplaces This hybrid strategy spreads risk and aligns with how major tech platforms generate revenue today. --- If you want, I can break this down by specific industries (e.g., healthcare, legal, education) or forecast estimated revenue numbers!

ihopethisworksfornow

Lmfao I went to cancel my ChatGPT+ and just saw that ChatGPT pro is $200/month. That’s not API access, that’s just ChatGPT the app, and Sora, the app. Absolutely smoking crack, whoever the fuck thinks that is worth is suffering from an active brain hemorrhage.

wegster

Well - it depends. I’m not following along the whole messy circular investments happening across some of the Mag7 right now, but I’m not convinced AMZN comes out poorly even if/when Gemini or others are crowned the ‘winner of the week.’. OpenAI certainly doesn’t have enough confirmed business to hit their assumed $1T+ valuation for IPO. And yeah, it definitely is ‘winner of the week’ as undoubtedly ChatGPT or it’s successors will still be good for <something> - utter crap at generating images and video, but it’s moderately ok today for generating business plans, outlines and the like. AMZN will likely include some right of IP or re-use in such a big deal, and even if for example, Gemini comes out on top for <most things>, then they would likely have rights to offer ChatGPT-NextGen at reduced rates for API integrations and cloud use. There’s a whole lot of ‘it depends‘ going on, but that’s kind of the state we’re in. I do want to take a look at the mess Oracle got pounded on, and for relative investment amounts like MSFT etc., but haven’t as of yet.

Ill_Television8150

Time to start an AI startup using OpenAI API to get some of that circle jerk money from Mag7

pink_ego_box

Remember when there were a dozen better apps and they threatened to charge them millions for API access and left us with that unusable piece of shit

i4bimmer

You have to differentiate between a model and the tooling around/built on top of the model. Anthropic's Claude Code is clearly better at coding than any Google tool, although Antigravity is catching up quickly. It really is a fantastic tool. Anthropic's models though, are arguably on par with Google's Gemini, and if you consume them via the API, which is what you do when you use them to power applications or agents, they're very expensive, much more than Google's Gemini equivalent. So no, they're not really ahead, not for anything else than Claude Code.

neutralpoliticsbot

Yes you can even make the chatgpt actually execute trades in Robinhood it was surprisingly easy to implement. You can scrape the whole options chain easily in seconds. and you can submit live trades using combination of API scraping DOM interactions that chatgpt can easily code for u its fun to play around with dunno if it can actually outperform a human trader though.

reddituil

YOU DON'T UNDERSTAND. I MEAN THE SERVER OUTPUT DIRECTLY CONTAIN ADS. LIKE "Any half decent developer will strip the ad content before sending it to an end user. Also not all API results are destined to be seen by end users. Sometimes the output is aggregated and sent on to another process for further analysis. Why not try the new Coca-Cola?"

west_tn_guy

Any half decent developer will strip the ad content before sending it to an end user. Also not all API results are destined to be seen by end users. Sometimes the output is aggregated and sent on to another process for further analysis.

west_tn_guy

Most of those prompts are probably via API. They would only be able to show ads to people who visit their webpage or use their apps directly.

nickleback_official

They know when you are using a VPN. That’s why you can’t access Netflix over vpn to get around geo restrictions. I think X is also using the App Store location for the client that is making the post which is a little more difficult to get around. Anyway it could just flag a VPN location as such as well as mobile app, web, or API. This isn’t an impossible problem.

Portfoliana

Everyone's fixating on the Nvidia comparison but missing the actual play here. These chips are built for inference, not training - and that's where the money actually flows. Training is a one-time cost, inference runs 24/7 generating revenue. Custom ASICs crush GPUs on inference price/performance because you can strip out all the flexibility you don't need. The strategic angle matters more than benchmarks: Microsoft just removed their biggest variable cost from Azure AI. Every Copilot query, every API call to GPT-4 that runs on Maia instead of rented Nvidia silicon goes straight to margin improvement. They're not trying to beat Nvidia at training - they're trying to own the inference stack where the recurring revenue lives.

donkeypunchblowjobs

Been on reddit since the great Digg migration...this website fucking sucks now. I want to come on to look at subreddits i subscribe to about videos games and aviation - nope - i have to look at a frontpage where EVERY single thread is political in nature. Even on subreddits that have nothing to do with politics. Reddit took a large nosedive when they stopped letting 3rd party apps use their API (Apollo) and forced everyone into their shitty algorithm/ad platform.

WowIfOnly

I have a strong suspicion they are working on killing off Old ASAP but can't because of some type of reliance on it internally as legacy code or something. If they could have killed it easily I think it would have been gone even before the API/3rd party app ban.

WowIfOnly

Saturation of mobile phones and the whole API debacle/destruction of the best 3rd party Reddit mobile apps. They only wanted their official app to remain so they could force more people into using it, feed what they want into LLMs, and steal more user data while trying to make real anonymity harder to achieve (unless you're a misinformation bot or a company anyway - then it's completely fine and protected from any consequences).

ControlTheNarratives

There is no limit on how many posts you can view you idiot. Maybe through the API but not for normal browsing… You just have to log in to a free account to see comments. Stop paying for nothing.

pragmojo

So I think it would be fine if they added "pro" accounts for influencers, with extra features like detailed analytics and better API's for supporting professional workflows. Like for instance if an influencer wants to do a weekly poll or a giveaway, that's something you could automate through an API. But chances are high they would end up selling reach, or hiding basic features behind a pro tier over time.

SilverPrivateer

It was only 10 cents a post unless you got engagement, I was running 12 with clawdbot but the API costs were only worth it at 3 upvotes per post, still was roughly 4 dollars an hour at peak times and averaged 2.3USD/hr over the last three weeks

123phi

Yes I was looking into this as well..just calculating my own greeks. Ultimately what I decided on was canceling my Theta Data Standard plan ($80/mo) and opening and TOS and schwab developer account. Their API gives access to real time options data so in a few days/week I should have access. We'll see how it goes...

AUDL_franchisee

You will ALSO need a developer account on Schwab to get access to the API: [https://developer.schwab.com/](https://developer.schwab.com/) It's a little weird. Once you "create" an "application" on the developer site it needs to be approved to get access to the APIs. It usually takes a week or two. I also found Tyler Bowers code (just search on github) to be incredibly useful for abstracting out the API interface. Good luck!

AUDL_franchisee

I have coded up analytics on top of the Schwab/ToS API and find it pretty solid & timely. I'm not looking at tick-level data so I haven't tested its timeliness to a fine degree, but it's certainly minutes ahead of Yahoo.

hengy77

Are you saying you’re using the Schwab API with Google sheets?

123phi

this is what I went for. Going to sign up with their developer portal so I can tap into their API

FSO88

Greeks are risk measures. You're not going to glean any EV from knowing gamma peaks ATM. There is no need to use anything beyond what is supplied via IBKR's API (for example). Price risk-reversals in premium-terms (Index singles are P/C>1; vert debits are C/P>1).

123phi

How do you find TOS API? I was thinking of just opening an account with schwab since TOS is free- is their data live? Good to know, ill take another look at IBKR. My roommate is also way more proficient in coding and usses claue code with replit, so I'm sure we could figure it out pretty quickly

HVVHdotAGENCY

I mostly use TOS for trading options and equities but I have a few things that I automate with IBKR. I found it quite a bit less painful than the other platforms to use their API, but maybe that’s just me. If you’re using an agent to build this, though, should be pretty easy. Codex 5.2 or Opus could probably one shot this with natural language.

123phi

Thanks for the heads up - Iv'e just heard that IBs API is super clunky, and I am very new to coding -apparently it takes a lot of back and forth to get it up and running. Are you on IB or what platform do you prefer?

Scannerguy3000

I don’t make any decisions by looking at brokerage data. It’s all meaningless public information. I log all my trades in my own spreadsheet where I have helper columns, formulas, conditional formatting, and macros. Lots of macros. This tells me my Adjusted Cost Basis per ticker in a way the brokerage doesn’t. It auto calculates whether I should BTC, hold, take assignment. Stuff like that. My Premium Capture % is always live. I had a dashboard tab that shows the relevant data from each of my ticker tabs. Highest delta, highest Premium Capture, lowest DTE, share of portfolio, etc. The API connections enters all my trades, and updates all the Greeks and prices (Last, Ask). Since I log the initial delta and initial price when I enter the trade, I can see how it has moved. Every time the delta updates, if it’s been at least an hour, it moves the old delta to a new range and I have a sparkline graphing the delta over the life of the trade. I have columns calculating my value loss (if a trade goes bad) versus the BTC cost. And again, LOTS of macros. The API means I don’t spend my whole day entering data. I spent a little time correcting or checking data in case something gets logged funny. My system basically makes all the decision criteria in advance and show me in alerts, color coding, etc. For example, my calls and puts are different colors. If the current price is higher or lower than the initial price, it will be in red or green (and opposite depending on Calls or Puts). Same with delta, and Last, Ask. If I see lots of green numbers, everything is moving in the right direction. If I see red numbers, it’s moving against me. It’s so much easier than having to look at a number and think about what it’s telling me.

Inevitable-Tiger3983

What are your primary use cases for this API?

Scannerguy3000

I’ve recently moved all my Fidelity accounts to Schwab. I like almost everything better. The Think or Swim app is helpful, but I tend to use a combination of the web and TOS. Schwab gives me consistently better fills than Fidelity. Sooner, and better price improvement. They also have a free API which was the primary reason I initially switched.

beenwilliams

Google (via SynthID), Adobe, Microsoft, & Meta are the top 4 public companies currently leading in deepfake detection software. On the private / vc side of things I’d say Truepic, Resemble AI, Reality Defender, Hive Moderation, and Sensity AI are the ones primed for M&A or IPO. Make note Hive has been “smarter” with their ip by focusing on developing an API for deepfake detection and watermarking analysis Just my thoughts on the subject matter

Carfar_Farcar

I loved Dark Sky, then Apple bought them and killed the API for us plebs.

BabyQuesadilla

I’m literally a PharmD but I can’t be arsed to explain any further than semagutide is indeed an API and drug. And you’re making so many incorrect/irrelevant statements I don’t even know where to begin. Good luck!

wazpoiapodierwopids

how did you get your hands on a reddit api key? kept saying In order to create an application or use our API you can read our full policies here: [https://support.reddithelp.com/hc/en-us/articles/42728983564564-Responsible-Builder-Policy](https://support.reddithelp.com/hc/en-us/articles/42728983564564-Responsible-Builder-Policy)

orangeyougladiator

Hike the price 20x and hope the customers don’t notice… their API was always the cheapest to lock in

SlfImpr

Sam Altman on X >We have added more than $1B of ARR in the last month just from our API business. >People think of us mostly as ChatGPT, but the API team is doing amazing work!

Extension-Temporary4

Hey mate, if you look at my comments you’ll see I’m a seasoned investor who specifically looks for opportunities like this - not your typical Reddit user (I’ll share more via dm as to why I’m even on here but it has to do with my API I built).  Mind sharing the company; Even via DM? In exchange I’ll give you a few others you can look at. I’m a quant with an algo/API that detects micro and small cap opportunities like the one you’ve identified. Happy to share more info in a show of good faith if you’re willing to name the company, I’ll also run a full fundamental analysis and send you my findings. Thanks!  And to answer your initial question — yes. This could potentially be a great opportunity. What’s the enterprise value? look at the debt and debt servicing. Also look at the terms of the credit facility and maturity date (is it coking due soon, is there a balloon, is it interest only, etc.). Look at the cash flows from operations. If the company generates sufficient cash to service the debt, even if it needs to refi a 36 month loan or something, and faces exposure to a higher rate or a non interest only loan, then it could be a grand slam long term buy and hold. I also look at how its financials are trending year to year — e.g, is revenue trending up or down over the last 5 or so years, net income, free cash flow, margins, customer acquisition, CAC, inventory, salaries and payroll, etc.  basically I want to know if the company is growing or not, and if that growth is coming at the expense of margins/profitability, and if management is over compensated, etc. the arbitrage re opportunities a great jump off point tho and a promising sign of a potentially great long term value play.  

jpwden

If youre looking for an API to consume, there are several out there. Im sure the paid tiers are all good products. Personally, I can recommend Massive (formerly polygon). Ive used their API--Documentation is great, doesnt feel buggy, very easy to get integrate--Took me all of 5 minutes to write a client from scratch...

mian_yamin

I don’t know about the app in the screenshot from the post, but this can be done in SuperTrader or Tradervue. To automatically import trades, you can use API sync or a .csv file.

Fauster

Does it stand for Assets in muh bank account? Always be hustling? And step 4, profit?! Anything worth doing is worth doing for money? Just a note that Trump bought 9-10% yield corporate bonds on Coreweave, (own a tiny bit of the ticker because of Trump). They cost like $250k minimum, but as a pleb I don't qualify to own them. Though its losing to the memory trade, at some point between now and lower the now Trump-backed datacenter trade will probably be a safe bet unless Burry is right and the price of used RAM and H100s suddenly collapse because tokens are commoditized and now cheap, but under Jevons paradox we would expect usage to paradoxically increase and revenue to increase faster than the decay in cost-per-token. Which is what we see so far; the volume of API calls is increasing so wildly that revenue is scaling. Yeah, it will stop sometime and crash the entire market, probably in a couple years if Burry's short-timing history is a metric. This is a long way of saying don't bet against thumbs being transparently on scales, or bet against Bessent's ability to scare Trump into not following Miller, Navarro, or Lutnik's crazy and illegal schemes. Bessent as Fed Chair, where he's not ready to fly to Trump to diffuse a crisis at any point in time, would be a disaster. My guess is that it's going to be Rick Rieder, though the odds are against it. Good for stocks, bad for banks, maybe?

derivativesnyc

data mine, warehouse, custom build your own analytics optics using API/back end scripting/front end UI skin.. options fintech is fraught w/ dashboards & analytics, web/app/standalone based, ultimately it's what you're trying to see for your own self in the way you want to see it