API

-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

Puk3s

Well with apis id suggest you ask it about open API spec. There is an art to it but I promise you you can become like a 10x software engineer

Wide_Brief3025

The best trackers usually pull from Reddit's API and scan posts and comments for your chosen tickers. If you want instant alerts when ONDS or any stock is mentioned so you can react quickly, using a tool like ParseStream really streamlines the process by filtering out noise and showing higher quality leads.

Singularity-42

Yep, this, I have seen very stupid things in the AI rollout at the big companies. Like choosing substandard tools the employees hate just because they got a deal or stupid things like alotting a shared mothlly API limit for Cursor that runs out after a few days, and since it's shared you are incentivized to use as much as possible before it runs out. A real example from a pretty big tech company I used to work at. 

i_dont_like_turnips

Ehhhhhhhh, I find that the vast majority of the time I spend the same amount of time fighting AI for writing bad code as I would writing bad code myself. It can spit out some useful boilerplate stuff, but a lot is rubbish too. Especially when you're using it to work with relatively complex APIs/frameworks. For example, trying to use it with the Cisco Unified Call Manager API has been an absolute pain in the ass.

ralphiooo0

We found for senior devs it definitely made them faster and quality was still great. For juniors however it’s a bit of a shit show. They just pump it out, don’t really understand why it “works”. So you still need a senior devs to review before anything goes live. I don’t really code anymore but sometimes have a play. But with coding I found issues when things were not technically possible. It would keep generating code that didn’t work instead of saying hey there is no API for that you can’t do it dummy.

RealWooWhee

Buying API inference sellers only lol ai website dev is retarded af and won’t make real money

Pas__

WhatsApp Business API, so if you want to write a bot you need to pay

Adventurous-Date9971

SaaS that survives this isn’t “less AI-exposed,” it’s the stuff that’s so baked into workflows and data that ripping it out hurts more than the subscription line item. You can already see the pattern: tools that were basically a UI over an API or spreadsheet are getting nuked first, just like your low‑stakes vendors. The sales/marketing-heavy ones are at risk because they relied on storytelling and discounting more than true lock-in: no proprietary data graph, no deep integrations, no ecosystem. But even in that bucket, if they’ve become the system of record (Jira for tickets, Salesforce for rev + reporting, Monday for cross‑team coordination), they have way more staying power than “nice to have” point tools. The filter I use as both a buyer and investor: 1) would we pay to migrate off this? 2) does it sit on top of unique data or workflows? 3) can AI be a feature inside it instead of a replacement for it? Stuff like HubSpot, Retool, and Pulse for Reddit fit that third bucket way better than generic wrappers around GPT.

FrankMartinTransport

Don't discount ChatGPT yet. They are still a pop culture reference. See around in chats, talks, memes they will say chatgpt not gemini. Just like nobody says search it and say google it. chatgpt is still a household name and I did some testing with gemini, although gemini is better but there were some cases where chatgpt outperformed gemini. For e.g. 1. I asked both about which market data subscription required to get OHLCV data from IBKR and gemini told me I need $10 + $4.5 subscription and was very confident. But chatgpt told me I only need $4.5 subscription which is the correct answer. 2. I asked both to write a program that will call IBKR API every minute to get OHLCV data. gemini wrote it in a way that if my app starts at 09:46:23 then it will call it every minute at 09:47:23, 09:48:23 etc. which is wrong. Chatgpt wrote it smartly by aligning it with minute i.e. even if I start app at 09:46:23, it will do first call at 09:47:00 and then all subsequent calls at 09:48:00, 09:49:00 etc.

skilliard7

Max 20x's limits really aren't enough, you need to pay more at API rates.

pizzababa21

Google also paid billions, admittedly less, for Varun and the Windsurf team only for the product to rapidly get objectively better almost immediately after acquisition. Meta acquired Manus recently who are a genuinely top class application team and I'd expect that one to turn out pretty well. They're also lucky that LeCun chose to leave and can hopefully spend more resources on LLMs now. They have a lot to do in AI still and dont even have an API properly set up yet, but they've committed pretty string on fixing that. I'm not sure how Wang will turn out but I trust his taste and youth over a combo of Zuck and LeCun, so dont see why the appointment gets such.negativity. he's definitely a smart guy with youth on his side, even if he isn't an expert on AI.

GlokzDNB

You don't get it. They could disable free plan completely, but that would only make your customers go to competition who would do so This has nothing to do with API which isn't free. Im so fucking tired of openai haters/ai is a bubble worshipers.. 99% of you are helplessly clueless forming circle jerks while the tech leaders and money tell completely different story

ZjY5MjFk

"in practice" every options market maker does this daily. They take it a step further and adjust based on entire portfolio. They also hedge out some other greeks besides delta, depending on their risk parameters. Besides stocks they can and do also use options to neutralize some greeks. In practice it's done with software (algos) and they have super fast order systems to handle the volume and speed. -- For retail, you could do it manually or using a bot using your brokers API. Pick something low gamma and decide how often you want to hedge. -- In regards to making money. You have to have an edge somewhere. -- In regards to risk, you have pin risk and unwinding risk and slippage. * Pin risk, just don't let it go to expiration. * Unwinding risk, if your position is closed (by you or early exercise) then you are sitting with a bunch of stock deltas. You need to unwind those, hopefully before market moves against you. * Slippage. If you are giving up pennys or nickles in slippage on orders or have fees or commissions, then by acting of hedging, you are giving up what edge you had. You'll just get nickeled and dimed

FireNexus

It’s probably worse. This technology seems to have fundamental problems that will limit its usefulness forever, and they’re hiding the O&M expenses really hard for companies that are trying to justify 1.5T in capex are worth it based on $10B revenue. Even Google has carefully obfuscated their o&m costs for Gemini and specifically did not report profits generated by their best in class LLM. They’re selling API access to their best in class LLM but not bragging about the money they’re making on it. Probably because it’s losing money at a rapid pace even in a world where they paused all capex today.

Majestic_Rub_7732

Main thing: even if LLMs grab ad dollars, this is a budget reshuffle over years, not some instant kill shot to Meta or Google. The constraint isn’t “users” for OpenAI, it’s inventory quality, intent, and targeting data. Google owns high-intent search, Meta owns crazy-deep persona graphs. ChatGPT is still mostly exploratory, low-structure queries where it’s hard to prove ROAS at scale. If anything, the early winners are whoever can fuse assistant UX with classic performance plumbing: first-party data, conversions API, attribution tools like GA4, Triple Whale, etc. Pulse plus Reddit Ads is already a good example of niche intent + community context actually moving the needle without mega-scale. I’d watch for LLMs becoming more like “ad routers” across existing networks: they answer, then kick you to Google Shopping, Amazon, or Meta/Instagram-style placements. The platform that nails that last conversion hop keeps the lion’s share of value, which is why I still think Meta and Google stay core holdings unless their data or distribution moats crack.

According_Witness441

Yes, there are free platforms that offer long-term financial data and allow downloads, including public filing systems that host 10-plus years of financial statements and some open financial APIs that let you export income statements, balance sheets, cash flows, and key metrics without a paid subscription. These free options may require registration or API usage but provide substantial historical data at no cost.

ZilliqaValley

I think they are doing the right thing. According to Gemini they have amazing tech. 1. The "15 Million QPS" Challenge ​TTD processes roughly 15 million queries per second (QPS). To put that in perspective, Google Search handles roughly 100,000 per second. ​Latency: Every single bid request must be ingested, analyzed, and responded to in under 100 milliseconds. ​Edge Computing: They use a hybrid model of AWS (for global acceleration) and their own colocation data centers. By using AWS Global Accelerator, they route traffic over the AWS private network to keep latency low across different geographic regions. ​The Database: They rely heavily on Aerospike, a NoSQL database designed for petabyte-scale data with sub-millisecond lookups. It’s what allows them to remember a user’s frequency (how many times they've seen an ad) across millions of simultaneous auctions. ​2. Kokai: The AI Upgrade ​While their older AI engine (Koa) was great for basic automation, the new Kokai platform is a "deep learning" upgrade. ​Audience Scoring: Instead of just bidding on a "car buyer," Kokai assigns a unique relevance score to every single impression opportunity based on "Seeds" (first-party data provided by the advertiser). ​Distributed AI: They don't just run one big model; they distribute "intelligence" to the edge. This means the bidding server at the data center can make a "smart" decision based on local patterns without waiting for a central brain to chime in. ​3. UID2 (Unified ID 2.0) Architecture ​This is their technical answer to the death of the cookie. It’s an open-source framework, not just a product. ​Hashing & Salting: It takes a user's PII (like an email) and puts it through a double-blind encryption process. ​The Token Flow: 1. A user logs into a site. 2. The email is sent to a UID2 Operator. 3. An encrypted UID2 Token is generated. 4. This token is passed into the "bid stream." Only authorized DSPs (like The Trade Desk) have the decryption keys to see the underlying ID and match it to an audience segment. ​Rotating Keys: To keep it secure, the encryption keys rotate frequently, making the tokens useless to anyone who tries to intercept them without permission. ​4. OpenPath: Cutting out the Middleman ​Technically, TTD is a Demand-Side Platform (DSP), which usually buys from a Supply-Side Platform (SSP). However, with OpenPath, they’ve built direct API integrations into publisher ad servers (like those of The Washington Post or Reuters). ​Efficiency: By removing the SSP "hop," they reduce the physical distance data has to travel, which lowers latency and eliminates the "tech tax" (fees) that SSPs usually take. ​Protocol: They use OpenRTB (Real-Time Bidding) standards but implement it via direct pipes, essentially making the supply chain "flatter." ​5. Data Analytics at Scale ​For long-term storage and reporting, they use Vertica (on Amazon S3). This allows them to store petabytes of "cold" data but still perform massive SQL-like queries for advertisers who want to see a report on exactly where every cent of their $10M budget went.

Portfoliana

Funny timing - I actually built exactly this. https://stockalert.pro does AI-powered alerts for price movements, technicals, volume spikes etc. Honest feedback tho: one-time purchase wont work for this. The ongoing costs for real-time data feeds and monitoring infrastructure are brutal. Everyone thinks “just alerts” is simple until they see the API bills lol. Also the “statistically significant rise” part is tricky - by the time something is statisticaly significant the move is usually already over. The edge is in catching it early, which means more false positives. Happy to chat if you want to compare notes before you build.​​​​​​​​​​​​​​​​

McZootyFace

Anthropic have a very different business model focused on business use, with a large amount of their revenue being generated via API token usage. They haven't scaled as fast as OpenAI nor seek to be the "Google" of AI that ChatGPT has become. While that gives impressive user figures it means are large amount of your users just cost you money.

Wardendelete

The point about inference constraints is the smoking gun that bears are ignoring. I’m seeing this daily, try building anything complex with Claude right now during peak hours and watch the latency spikes. You don’t get API instability from 'fake demand.'

ChronoFish

Here's my take. MCP allows agents to work on your behalf. So systems like Jira, which charges by seat, don't need end user licenses except for those actually assigned the work . Reporters and PM can do all their task and project management through an agent. The only reason to have a license is to be assigned a task. And even that can be proxied through a custom field. Which means Jira is basically just a data schema with a cool API that maintains relationships

redditissocoolyoyo

It's my own mobile app that I built. It uses the API from finhub and Alpha vantage.

m0nk_3y_gw

I'm on IBKR and the price only moves 6 1/2 hours a day (stock market hours), using the mobile app and the python API. I must not be signed up for the right data feed. Maybe I shouldn't fix that.

ThisCase41

So who's your API source?

Portfoliana

That’s true, it’s just one source. Will add more API endpoints with different sources over time 💪

Portfoliana

Oh nice, just yesterday I added a feature to <https://adanos.org/reddit-stock-sentiment> that explains why a stock is trending. You just click on any ticker in the table and it shows you the actual posts driving the sentiment. Theres also an explain API endpoint if you want to integrate it programaticaly.​​​​​​​​​​​​​​​​

skilliard7

Google doesn't charge for Gemini licenses... you pay as you go via the API with no upfront costs. If Apple wanted to implement Gemini in iOS, they wouldn't need to pay $1 Billion upfront. >Do you have any background with software? Yes, I've involved in discussions with vendors. Apple negotiated a bulk deal; rather than paying the retail API prices Google charges, Apple is paying a fixed amount. Apple gets access to a LLM within their OS for dirt cheap, while Google get's to report a big $1 Billion contract which pumps their share price.

GordoPepe

re: oil apparently some report came out from the U.S. Energy Information Administration (EIA) and American Petroleum Institute (API) showing significant increases in U.S. crude oil and gas killing the supply concerns. The call is coming from inside the house

eyehole_men

Most likely no invasion. But more than likely a limited strike package on IRGC targets and other gov/nuclear targets. If the regime is overthrown expect oil prices to go down. They can flood the market not because they’re holding reserves but can actually trade with the world again instead of being sanctioned. And unlike Venezuela a lot of their oil wells are operable. As well as the fact that Iranian oil is typically a medium-to-heavy flowable liquid (API 29–34), whereas Venezuelan oil is predominantly an extra-heavy, tar-like bitumen (API 8–16) that is far more viscous and difficult to refine. It’s probably priced in but Iran being able to trade at market rate again will affect Russia and China and the oil market more broadly. As well as to finally allow for capital inflow.

skilliard7

> This is hugely bullish. The more Apple uses Gemini the more money Google makes. > > Plus it will be with really nice margins as ONLY Google has the TPUs. > > Realize Apple has only licensed the technology for the billion. There is the actual running the model. I would expect over time Apple hopes to do more of it on device as some point. But even if that happened they would have already paid billions to Google. This is incorrect. The $1 Billion deal is a license for unlimited usage of the Gemini API for their Siri product.

gmdmd

Oh very interesting... what indicators do you need to do EW Analysis? I've been paying for an API (chart-img) to automate getting screenshots from TradingView then passing that via API into gemini. If our site ever takes off or reaches ramen profitability it seems like it wouldn't be too difficult to add EW analysis, although that would effectively double our LLM costs to run a separate EW analysis on top of our standard TA...

BadMoonRosin

The "best LLM" changes every 3 months, and heavily depends on your use case. Claude has been the best for technical work, and ChatGPT has been the best for creative tasks. But lately Anthropic has a lot of speed and reliability issues, and OpenAI has been more focused on cost optimization rather than pushing the performance envelope. So yeah, they've allowed Gemini to creep up. I think the Apple deal is a huge thing for Google, but I also think this subreddit is over-hyping it just because everyone loves their iPhones so much and gets irrational about Apple. Monetization from AI is not going to come from people paying $20 month for web chat. It's going to come from API usage. And OpenAI is just dominant there, with little real competition. Their "gpt-5-nano" model is fully capable for any RAG or categorization problem, and even light reasoning, and OpenAI has the pricing down to where it's on-par with the shittier Chinese models now. Meanwhile, Google Cloud is still in a distant third place behind AWS and Microsoft Azure, because Google is a crappy tech vendor beyond the consumer space and businesses don't want to work with them. There's not going to be any "THE winner" in the AI race.

BadMoonRosin

> I'm currently paying for Gemini Out of curiosity, why? I'm a heavy user, and have never sniffed any kind of rate limit or daily cap so far. As far as I can tell, the only use case for paid Gemini (chat, not API) is a company wanting some kind of data privacy guarantee.

auradragon1

My company spends about $50k/month in token API usage and increasing rapidly every month.

j_hes_

Most API providers are brokers.

Captivated1996

Oh I am aware. I am planning on eventually going straight to nasdaq and OPRA for the data and perphaps become a API provider similar to the data providers I use.

MyNameCannotBeSpoken

By list, an API is fine as well

x86brandon

Imagine a world where every app dev can monetize AI without having to incur the capital costs or deep expertise in it. Your interface is Foundation Models either via API or via UI via Apple Intelligence and Apple Intelligence can send specific tasking to specific models and allow the inference to run \*in\* iCloud basically so you can run models on your data + mix with world knowledge data. "Hey Siri, did that restaurant I went to with bob a few years ago close? They had a pretty good steak, is that still on the menu?" And have that be baked in as a first class citizen on everything from your laptop to your phone to your TV. People are focused on the models purely from a GenAI perspective and judging Apple as a failure without thinking about the user experience of AI and whether GenAI is even a jack of all trades. Whereas Apple is focused on the experience first with pluggable models. Imagine an AI marketplace on the App Store where you can pick from best in class niche models from 12 Labs, Writer, etc. The best models in the world only so go far if the user experience is shit. There's only so much you can do with a chat interface that has to upload/download files. A model that can govern other models and route queries in a pluggable fashion and happens to run next to the servers that hold all your data and integrated into the homomorphic encryption ecosystem..... that unlocks new things. Entire new market segments of micro/macro niche models that you can develop with Apple taking care of the serving, inference, privacy, etc. If you believe that is more valuable (and I do) then Apple will profit from the generations of models to come and the developer revenue they can capture. Apple has a hardware advantage no one else has in terms of the energy footprint of their own chips and ability to serve models on it. Hint: MacOS 26.2 added RDMA support. As in you can cluster Mac's via hundreds of gigabits of Thunderbolt shared memory and get into multi-terabyte context windows. :)

Jerhed89

This is big but not for the reasons many folks here think. From my understanding, the Gemini model is powering Siri, and will be hosted by Apple and part of their offering within their walled garden. This appears to be the first big move where Gemini is used as more than just a model or ok assistant within Google Workspace to actually be the foundational infrastructure to a product. In the future, the money for these models isn’t going to be made on subscriptions to consumers or end users that strictly use chat functionality, but as either usage based billing for API calls or for licensing of the models to then self-host and build products with. Right now, Anthropic owns this vertical with another small slice by OpenAI (eg I believe it is Claude that powers Cursor, Replit, Lovable, Gamma, and many others in Forbes AI top 50). We are barely at the tip of the iceberg for AI integrated tools.

DouDouPi

from an API vendor. ThetaData

muller5113

Gemini API for enterprise (vertex ai) is incredibly unstable. Obviously Apple will get some dedicated servers but I wonder if they manage to scale them accordingly since they did not manage to get it done the last year for what is essentially their flagship product on Google cloud

ironmagnesiumzinc

Gemini definitely tops every benchmark. However, in my experience, Gemini is BY FAR the worst of the top models. It’s way too verbose, it often doesn’t read uploaded files automatically, it gets confused if you start talking about new things in a single conversation. Its API costs are just cheap. That’s why they chose it

moorhound

I run Pro, is there any point in Ultra if I'm not an API nerd

Confident_Buy_684

They are basically gonna be supporting the onshoring of API then the manufacturing and the logistics... its huge just gonna take some time. If you gonna invest here then forget it for the next 2 years.

Portfoliana

Gonna be honest - when everyone on Reddit is asking for the “next 10x”, thats usually a sign we’re closer to a top than a bottom lol. ASTS and RKLB ran because they were unknown, now they’re in every thread. Thats actually why I started tracking Reddit sentiment for stocks - by the time something is being hyped everywhere, most of the easy gains are gone. The real alpha is finding stuff before it gets popular here. Built an API for it at <https://adanos.org/reddit-stock-sentiment> if anyones curious. My actual “high conviction” move is staying diversified and not chasing memes. Boring but it works.​​​​​​​​​​​​​​​​

babyd42

What are your API calls for data from?

OneTwoThreePooAndPee

Amazon is going to start aggressively replacing humans with robots in their logistics anywhere they can, because they've never showed any concern about workers and they're not gonna start now. I think that's going to lead to them showing incredible savings beyond what people are estimating. Google's big plays are obviously Gemini, but that's largely just to keep their head above water vs. everyone else, not necessarily to improve their own internal functioning. So maybe they start seeing some revenue from people using that in workspaces and paying via API? But I honestly don't think we start seeing real AI society destruction before next year. BUT I am mostly long on Google for stuff like Waymo, and some other things I can't remember now bc I just smoked a joint. But look, the point is, both good picks.