Reddit Posts
Anthropic Pitches $190B-$200B 2028 Revenue in IPO Case
So long suckers, about to leave you losers behind.
Trump Media: More than 10 firms pay up to $100,000 a month for fast access to Truth Social posts
Trump Media: More than 10 firms pay up to $100,000 a month for fast access to Truth Social posts
Researchers found a way to extract hidden reasoning of frontier models using a vulnerability in the APIs of every frontier AI company.
How OpenAI turned product degradation into engagement stats: Broken context retention, forced retries, and $6.6B in insider liquidity.
Is Truth API in place for most institutions yet?
Wall Street mispriced Twilio as legacy SaaS. Here’s why this week’s earnings beat is only the beginning
NRX Pharmaceuticals (NRXP) - Imminent Catalyst and other statuses! This company is on the move and gaining traction. Price targets are multiples of the current share price.
Trump Media Launches Truth API for Wall Street Traders Despite Objections
Trump Media Launches Truth API for Wall Street Traders Despite Objections
Alphabet earnings - Negative free cash flow of $5.9 billion, driven by high capex
Due Diligence | AI sector isn't just overvalued; it is architecturally redlining.
Is there any service that has historical API access to SPX Global Trading hours quote history?
Kimi K3 has been API and web only since 16 July, with open weights committed by the 27th
Thoughts? Trump is about to sell early access to his posts, but only to Wall Street.
Zhipu On-Track to Become First Chinese AI Model Company to Reach $1B in ARR
Google's AI is now substantially behind, even losing to freely available Chinese Open Weight Models. The market hasn't caught on yet
How to actually trade Trumps Tweets
How is this legal? - Truth Social to sell banks 'fastest' access to Trump's posts.
Direct feed from the Oval Office - Truth.API goes live
Truth Social to sell banks 'fastest' access to Trump's posts (Reuters)
Any axionquant API users have a longterm review they can share?
We tested a methodological critique of our macro ARIMA model. Here's the results.
We built an affordable Deribit options data API
Meta jumps into AI coding market in effort to chase Anthropic and OpenAI
API that given sentiment scoring across 500+ tickers:
Stop letting big money beat you, find the edge and follow the money.
I used ChatGPT to backtest a SPY 0DTE strategy and Codex to build an automated IBKR bot
I am once again asking the reddit hivemind for feedback in order to build bloomberg terminal for retail
I built a desktop options scanner for cash accounts — looking for 10 traders to beta test
US Stock trading algo performance in 2 months 10.79%
The Price Ceiling Nobody Wants to Talk About: When Hiring Humans Becomes Cheaper Than AI
The Price Ceiling Nobody Wants to Talk About: When Hiring Humans Becomes Cheaper Than AI
Built a Black-Scholes Options calculator to model strategies including profit probability
Built a Chrome extension to replace my ChatGPT copy-paste workflow for portfolio news and DD. Here’s how it works
Built a Chrome extension to replace my ChatGPT copy-paste workflow for portfolio news and dd. Here’s how it works
API oil chief warns US Strategic Petroleum Reserve nearing critical low
I lost $3000 trading on emotion after making 6 figures in crypto. So I built an AI to permanently remove feelings from my trading decisions.
I lost $3000 trading on emotion after making 6 figures in trading. So I built an AI to permanently remove feelings from my trading decisions.
Lost $3000 trading on emotion after making 6 figures. So I built an AI to fix it.
AI cost-control companies the next AI infrastructure trade? Potential for re-rating with reasonable valuation.
Why AI-Native FinTech Engineering Is Reshaping Financial Product Development in 2026
The house of cards is falling apart, just a random theory
The house of cards is falling apart, just a random theory
Netskope (NTSK) - Slept on? Cybersecurity is more Important than ever with agentic AI Adoption
YYGH High-growth revenue, massive asset gap ($4.03/share net), and a brand new NVIDIA Blackwell infrastructure catalyst.
YYGH High-growth revenue, massive asset gap ($4.03/share net), and a brand new NVIDIA Blackwell infrastructure catalyst.
Building an AI agent that needs live market data?
Bull case for cyber security stocks is incredible.
Feature request: Better tracking for rolled options in thinkorswim (net credit/debit + roll chains)
The next AI rotation - from infrastructure to data reservoirs
Building a Greek P&L attribution system for options portfolio
GRPN Deep Dive: Built a Full Short Squeeze Analysis Spreadsheet from SEC Filings + Ortex Data via Ortex API - Here's What I Found So Far
85% recurring revenue. 5x revenue growth in 5 years. The biotech royalty engine Wall Street forgot.
Anyone using AI agents for options trading? Hitting some execution issues
Anyone using AI agents for options trading? Hitting some execution issues
Opinion: the AI race is almost over. China is winning
After a decade of participating in and watching the stock market, I’ve decided to build my own institutional grade tool.
[UPDATE] I used an AI to manage my live options portfolio. I’m up $4,059.15 in 9 days.
We may build too many data centers, from a computer nerd's point of view.
AI health apps are everywhere. the ones with actual revenue infrastructure underneath them are not.
"Tokenmaxxing" - How AI demand is inflated by deliberately wasteful & subsidized usage. At least $6 Billion+ a year in waste
I BUILT A 3D STONK GALAXY WHILE LIVING BEHIND THE WENDY’S DUMPSTER
$AKAM - The CDN Boomer That Just Became an AI Infrastructure Chad (and nobody's talking about it)
Profit edge I found: Polymarket pricing lags behind traditional markets
What I learned from almost blowing up on a 0DTE options trade
What I learned from almost blowing up on a 0DTE options trade
We're seeing the first subtle signs of Datacenters being overbuilt
I Spent $42 Letting 5 AI Models Design My Next Trade. Tuesday It Goes Live.
Any alternative to stockanalysis? Screeners, multiple exchanges and customizable table views. Any with API support (not required) and free / low pricing for personal / self education?
Mentions
Thanks for explaining, this is so cool! My broker did have API for account NAV, got GPT to calculate it when I started in May Sharpe ratio 4 Calmar ratio 30 Annualized return 60% Annualized vol. 10% Max drawdown -2.1% Expecting these number to cool down going forward IV got really crashed and it will be a more stress testing period ahead. Still, I'm blown away how well AI can generate and manage options premium selling.
Buy what, Truth Social API access?
Yeah it's super easy to simply use Qwen and add a web search API to get recent information Qwen wasn't trained on. These data centers are wasted capital.
Whoever bought the Truth Social API for $100k feeling pretty ripped off right now lol
It's Google. Screw gemini, look at everything they built or make massive profits on and areas they're expanding that many enterprise and medium sized companies utilize. On top of that, their cloud platform, API Platform, Cloud infrastructure that openAI and Anthropic and more use. All this and more that they are building out is increasing profitability further for the long term rather than the short term.
You gotta subscribe to Truth Social API to get early alerts lmao
Only buy magnets with the Truth API says to do so
SPY, QQQ, IWM all pumped on 6:29 Truth API users probably got a tweet scheduled for 6:30 early
My point was again more about sprawl - Claude Tag has become so useful - and we have internal use cases that are basically now dependent. Quite sticky. Several teams have deployed autonomous agents in the anthropic console, each with carefully crafted sets of credentials and access patterns API keys which are used in various services (think BYOK instead of using some SaaS credits). Just a few examples. so while I agree with you in the context of swapping out keys (assuming they’re managed centrally), they have designed some useful features that can easily become embedded and sprawl is difficult to manage.
It's 15 min of work to replace you API integration if you're using langchain and/or bedrock for example Where I work, we replaced Anthropic models with Kimi for every step of one workflow and we are looking forward to do the same with the rest
Disclosure: I’m the founder of MorphIQ Labs. We currently have the data pipeline and internal tooling for live GEX calculations and historical reconstruction, including intraday data for 0DTE analysis. It sits within a broader stack covering options-chain normalization, volatility surfaces, skew and term structure, high-performance pricing and Greeks through FerroRisk, scenario stress and repricing, dealer-positioning analytics, historical replay, and FerroWave-based volatility-regime analysis. We’re now working through market-data rights and weighing open-source versus commercial licensing models. That could mean open-sourcing parts of the calculation layer while offering licensed data and hosted access through Spread Foundry or the underlying platform APIs. No release date yet, but this is under active consideration. Would you prioritize API/CSV access for backtesting, a TradingView overlay, or both?
That Morningstar 150-holding cap is a known headache once you blend multiple accounts with heavy individual equity positions. A few alternatives depending on how deep you want to go: 1. Empower (formerly Personal Capital): Free and connects directly via Plaid/Yodlee. It handles large aggregated portfolios easily and gives a clean macro breakdown of asset allocation, sector exposure, and cap-size mix across all holdings. 2. Portfolio Visualizer: Great if you just want to export his accounts as a CSV and upload them. It gives solid factor/sector exposure breakdowns without the Morningstar interface lag. 3. OpenBB Terminal: If you’re comfortable with Python or open-source desktop terminals, OpenBB handles custom multi-account data feeds with zero holding limits. *Quick workaround inside Morningstar:* If he really wants to stick with X-Ray's underlying fund look-through engine, aggregate his small individual stock positions into 5-10 sector-representative buckets or filter for the top positions driving \~80% of the equity risk. That will pull him back under the 150 limit while keeping the fund look-through intact. *(Currently building a python quant terminal called QuantForgeTerminal specifically to solve these exact custodian/API data-limit bottlenecks!)*
i'm pretty confident reddit is on average anti-AI, the 'subsidised' BS is getting boring, API usage is considered close to market realities, if not wildly profitable already (according to SemiAnalysis, check them out, they have the "facts" you pretend to care about)
Truth API posts truths milliseconds faster than the public timeline. Only large firms using advanced trading algorithms could see any benefit whatsoever. But you come across as someone who is profoundly full of shit with no moral compass. So by all means, go for it!
To be fair in agentic tasks most of software engineering world ended up waking up around April and going in fast/deep (that means Pro subscription for freelancers, and large token based API spend for companies) - this was aided by basically every development related blog and podcast basically saying "they are no longer crap, a revolution happened in the last six months" - and they were right - they are good enough now. A jump to $40B seems very feasible to me.
I used 1$ of tokens via API today. My maximum this week was 1,50$
Not sticky at all. Switching an API from an Anthropic model to a Chinese one in many cases might literally be one line of code. Most businesses implement it through OpenRouter exactly for that.
As I understand Anthropic is profitable, barely but still. There isn't a 8000X usage. The personal subscription allow to get much more than you would get with API usage, all granted, but this isn't available for corporations.
I'm using AI a a lot via API and I can get a lot of stuff done with minimal amounts of money. Right now, my fav model for single tasks is Luna. If GPT would get more expensive, I'd switch to Gemini 3.7 Flash. My own consumer behaviour is making it difficult for all these companies which invested billions to train their models to get that money back.
separate the two. subsidized plans from every provider whether it be anthopic, openai, etc, are money losers, while enterprise API usage is recouping losses when 'tokenmaxxing' was all the rage.
they’ve made things pretty damn sticky though. between API keys for other services, true agents, Claude Tag, it’s hard to pull back.
This Truth Social API service is blatant corruption and they aren’t even trying to hide it. Pretty crazy times we live in
API pricing is obscenely inflated, so you can’t make this comparison
One thing worth not ignoring is that up until now the Chinese models have been pretty much ignored. Starting this year and specially in the last 3 months things have changed dramatically. Chinese open source models are now as good as Anthropic’s at a much lower cost. The growth path is actually showing signs of reversal now with a lot of Fortune 500 companies now leaving Anthropic and moving to Chinese open source models. So expecting the same level of growth now compared to when Anthropic was pretty much the coolest kid in town is what is unrealistic. Me and at my business we only use Anthropic right now through their subscription and that’s because it’s heavily subsidized. For API (where in theory they turn a profit) we haven’t touched any American model in the last 6 months. That changed a week ago purely because OpenAI slashed their API prices by 80%, which puts them in a somewhat competitive place again (but at the cost of likely making no money or even losing money on that API). So yeah, expecting 10x growth now that their main product is being offered for free by the Chinese, is what’s unrealistic.
I think I am going to slowly move away from Claude and use deepseek or some open source AI model API while using Hermes AI for agents I want full autonomy to do whatever I want 😈😇
F10 companies are not going to host open source models. They're going to negotiate better API costs. Currently working at an F5, and previously at another F10. Never seen what you're talking about, at scale. Individual teams can do what they want but the enterprise is not going that way.
With open sourced models and the private ones on API pricing, I’ve been able to cut down on agencies for managing various tools to a tune of 10k a month. Larger companies struggle to use these tools for their own reasons but I see small businesses adopt them really quickly
The thing that will bite you is that iv30 minus iv365 is not really the number your structure cares about. On a diagonal you are short the near leg and long the far leg, so your edge lives in the term structure slope, not the level. Ranking on iv30 minus iv365 treats a name where the front is 55 and the back is 50 the same as one where the front is 30 and the back is 25, but those behave nothing alike once the front starts decaying. What you actually want to rank on is front IV percentile high while back IV percentile low, or the front over back ratio, because that is when the leg you are selling is rich relative to the leg you are financing it with. The "1y iv basically equals 2y iv" assumption someone made above is exactly the thing that kills this screen, since the whole trade is a bet on the two being different. Two practical gaps in most screeners for this specific build: The earnings filter almost never maps the earnings date to a real expiration. Most tools flag "earnings this month," but you need to know whether the print lands before your 27 to 35 DTE short leg expires, not before the calendar month ends. Make sure it keys off days to earnings versus days to your short expiry, otherwise it will pass names that still have a print inside your short cycle. A whole market daily scan with per leg delta plus term structure is really an ORATS or Market Chameleon job. ORATS has the term structure and earnings data through the API if you are willing to compute the front over back ratio yourself, Market Chameleon has IV term structure and an earnings screen in the UI. oquants at ~80 a month works too. Koyfin and TradingView will not do options chain level IV term structure screening, so do not spend time trying to bend them into it.
A few hundred k on my side personally, although the range could be a bit wide, (very) lowend of 100k easily. I got it to do a few different things: - Automates major admin, along with the corresponding material used to enforce it. Used to take an hour or so for every 5 submissions, now it takes about 10 minutes. Has been zero dropoff in quality as it's all trained on data from when I did it by hand. - setup scanners for insights and news relevant to my target market, then takes the best 3 (I created scoring logic for what dictates best) and creates content for socials on that. It's trained on my tone of voice and I created an AI detection document for content that it has to get through before it comes to me. The difference between my writing and the output from it are miniscule. - setup scanners to collate leads from multiple sources once a week, grade them, pull 2-3 most relevant contacts for each lead + their contact info from zoom and puts it into a structured Excel for me and my team for outbound. - automate collateral generation, open Claude, run it, fill out some boxes from notes we already have from the project, then creates a gamma to be shared on socials. Again, trained off of previously hand created collateral with precreated themes so there's next to no difference between me doing it and Claude doing it. I've done all this with a Pro account and about $50 in API credits (of which I still have 25ish). The first one alone gives me and the team back about 10-12 hours a week. The rest combined probably another 10. It's enabled all of us to take of significantly more work than before with no decrease in quality and still gives us a better work life balance.
You can do something similar with oquants they have screener where you can construct columns of iv30 minus iv365 (or divided by). For all intents and purposes 1y iv = 2y iv. Alternatively you can buy orats API and do the calculation yourself.
This is a false dichotomy. What if you had a model that was just as good but cost 1/10 or 1/100 the price per token? Because we're already very close to that point. 5.6 Sol is absolutely better than Opus, already, and much more token efficient. I use both - as well as Chinese models - extensively. Once your personal subsidized plan starts being charged API token prices per token, you'll certainly change your tune. This is what enterprises are doing now: do we pay $100m for Claude, codex for $50m, Meta for $10m, or host our own open weights model for $1m?
> That’s because you sell to startups that don’t care about actual data retention and soc2 compliance. Enterprise plans (that legal and audit will actually approve) aren’t subsidized - they’re all api token pricing, which is why we’re all moving to hosting the open source models on our own cloud instances. You're right, but for the wrong reason. Nobody, outside some very specific teams and organization, is going to fail their ISO 27001/SOC 2 audit because they're using Claude Teams instead of Enterprise. The reason startups use Claude Teams and established organizations don't, is because it maxes out at 150 seats, so above that organizations imply have to use API pricing. We've moved fully to spec driven development using Claude Teams and I see the token spend going through the roof in the last couple of months, and still rising. Every month I map the tokens spent to the API pricing and last month the price would have literally been 10x of what we are paying now, if we had to pay API prices. That's not to say that cost right now would be prohibitive, from a productivity perspective an argument could be made that it is worth it (although we strong differences in how effective people can use AI). Still, the potential cash out for a smaller organization is absolutely significant and is in the order of magnitude of your regular cloud bill for sure. So while we're using all the tokens we can while they're so heavily subsidized, I'm definitely looking towards an exit strategy towards cheaper models for when the foundation model providers stop buying the market.
Do poor people even use IB? I got the impression they’re the least poor person broker that isn’t one of the “connect your Bloomberg terminal or API client” ones.
They surely don't make money from subscriptions and API costs are getting very quickly eaten globally by Chinese models. Internal US market for main token consumers is just a few millions and it's just not enough to scale. Globally they cannot compete because they must maintain ridiculous margins in a hardware business that is historically extremely low margin and highly competitive. Economically they're doomed.
You say that, but at the enterprise level getting buy-in to rebuild the scaffolding that’s being built around these AI platforms is not going to be point and click. A lot of these companies aren’t just unleashing the desktop client on their employees, they’re incorporating API calls in to custom built workflows. Is it the right approach? Probably not, but it’s what they’re doing. I’d just caution against “there’s no lock-in with AI” because there absolutely is. Sauce: was a technical product manager at a large enterprise and helped lead the selection and implementation of claude in early/mid 2025. Was
Who cares. Anthropic is all about API usage for Enterprise which makes more than 90% of their revenue
If you run the numbers, owning hardware for running ai models is stupid expensive, even if electricity was free and you didn't need cooling. API prices should be 10 times higher to account for this and there's no moat to justify being in the cloud compute business right now.
"Markets already move on Truth Social posts ... As adoption grows, we expect Truth API to become a meaningful, ongoing source of revenue for the company.” — TMTG's interim CEO Kevin McGurn On April 9, 2025, Wall Street's main indexes turned sharply higher after Trump said in a Truth Social post that he would pause many of his new tariffs for 90 days.
Great thought. LLM API outages do happen, but considering the supposed lack of capacity, rarely. I assume they forego training/derisking to dedicate more resources to inference and hide it this way. Or it's all lies and LLM APIs would have no capacity constrains if they priced them right, to match the capacity they had. But if people had to pay those prices, they'd barely use those models. So, I think they want to addict people and companies to the models and in the meantime raise money based on that discounted income to cover the costs.
And those limits are very generous, you can spend through $100 of tokens in a day, while paying $5 for it through subscription. If they would be capacity constrained, your usage limits would be worth $5 of API use.
its probably worth it, cause all you gotta do to make money is reverse him.. even 1000x cheaper than your president's Truth API access.
Fair enough. Tbf the OpenAI subscriptions are very subsidized (good for users, OpenAI still burns all of their money) so I don't think they get a lot of money from coding since most codex users have subscriptions, also this is a guess but a codex subscription is probably better value than some other Chinese provider in general since they tend to price their subscriptions closer to API pricing - this is from my experience with qwencloud and the old glm coding plan).
you need the 100k truth social API sub for the news
the reddit API absolutely allows bots to upvote and downvote
AI might be a bubble but the demand is completely real. even DeepSeek, the cheapest model on earth, is raising their API price compute demand is not going anywhere
For material information to be legally considered public, it has to be released through a broad, non-exclusionary channel, like a press release, an SEC filing, or a freely accessible post, and given time for the market to absorb it. Funneling market-moving policy through an API that costs $100k/month completely fails any standard of broad dissemination. It’s selling advance notice to a handful of elite funds. In my view, that data only becomes legally public once it hits the regular API that the broader investing public can actually access.
You seem to think ChatGPT is a fancy chatbot for people. Most of their revenue will come from businesses and API use. You don’t seem to understand that part at all, or even realize it exists.
So I'm guessing they just enjoy burning tens of billions of dollars a year, even though they don't have to? As well, API users wouldn't see ads, and they're the current revenue makers. They'd need to stop subsidizing those.
Not sure why you were downvoted; people say it because it's true. u/ben_kWh can you provide an example of a proper price improvement fill for options on RH? Especially for spreads? Because I almost always get it with Schwab and never with RH. I've had a typo for a spread at 12:59pm and RH filled it at 300% loss without warning me EVEN THOUGH their own API provides the points in the bid/ask spread they consider "high fill" likelihood. As long as it's legally within the slow and not actually correct bid/ask spread for lower liquidity strike prices, you're fucked. Their money is purely made on spreads and PFOF numbers in the billions, so I'm skeptical when others assert otherwise despite all the evidence we have on the forums as to how much RH sucks at this.
nah, when the whole API fiasco thing happened a bunch of people said they were leaving to the fediverse and all that those places died after a few months because it turns out 99% of people never left reddit this place is a social media addict fly trap
\> (The lawsuit) targets “Truth API”, a paid data feed launched on 1 August by the Trump Media & Technology Group. The service gives paying subscribers faster access than the general public to posts from 10 of the platform’s highest-profile accounts, including Trump’s own account, as well as those of the vice-president, JD Vance; press secretary, Karoline Leavitt; and other senior officials. Subscribers pay $100,000 a month, or $60,000 a month for a three-year commitment. Wild
Is mango posting about sandick on his truth API Lol
Every decent exchange has an API that you/ai can use to make trades/watch prices.
> Why do you think your broker(s), platforms, high frequency trading firms etc want to colocate their servers in the same data center as an exchange’s matching engine? So their trades on public information execute milliseconds faster than everyone else. I think this is just evidence that milliseconds matter, and selling faster access to the Truth Social API is giving the buyers an unfair advantage by using information that isn’t public yet.
The real trade here is that $DJT has essentially become a news-speed play rather than a media company. Firms paying $100k/month for API access to Truth Social posts are basically paying for a faster news feed on presidential statements that move markets. It's wild — you can watch $DJT tick live on MarketCast and the moves on any Trump post are completely divorced from fundamentals. Pure sentiment ticker.
Shouldn't these firms be immediately sued for insider trading? I mean that's the entire premise of the API, right? How much money can one make by suing those companies?
Oh lol no I'm not giving an API access to my brokerage, I thought it mean like screenshots or even video, I'd do that
I took one for the team and paid the $100k for Truth Social API access. It’s gives you the SPY chart 24 hours into the future. This is tomorrows action: https://preview.redd.it/3omczmxsk1jh1.jpeg?width=512&format=pjpg&auto=webp&s=f2867993f22e1ea3ccb27f9e77d3ca243b03620b
API access to information that could swing the market, before anyone gets it. It's literally in the article "faster access". HFT algorithms can execute trades in nanoseconds. Therefore even with algorithm/infrastructure parity, any firm that doesn't pay for this is behind their competitors by a wide margin. This prompts them all to pay the president directly to stay competitive in the market. Insider trading, even if sold to the highest bidder is still illegal. Then naturally retail who already couldn't compete with the HFT algorithms is left further behind.
They can't run frontier models themselves. Frontier models require massive data center compute clusters only available in the cloud. You can't run multi trillion parameter models locally. So they will be paying cloud hyperscalars for tokens as a service through an API. All open source does is shift the profits from the AI frontier labs to the cloud hyperscalars. Whoever owns the compute still benefits. Same old cloud story that's been going on for 20 years now.
The AI market doesn’t align that much with what actually happened during dotcom. The issue with dotcom was that literally anyone with a half baked idea and an inkling of building a website could get millions in VC money. That hasn’t happened to nearly the same degree as AI, it’s fairly consolidated considering even off-shoot or doomed to fail companies use the API of a large model. The large corporations that fund these AI companies will continue to do so. Sure, they aren’t commercially profitable, but some FAANG or FAANG-adjacent company will want the models to be available in perpetuity. We’re more likely to see a large market shift, and that’s only if someone develops a major breakthrough and isn’t absorbed by a larger corp.
That's what I mean by paywalled, you need to pay to access it (the API)
I don't think any of it is pay walled it's API access which is enterprise
I use tastytrade, which has a decent API. That API includes trade execution. I wrote a small set of tools that I give Claude or GPT access to, so I can control which actions it's allowed to take. Right now, it's read-only, but I can easily enable write actions as well if I wanted to let it loose
Enterprise API fees? It helps enterprise content aggregators: https://zernio.com/blog/social-media-api-pricing
That's not even comparable, but good example of Enterprise access fees. Here's what other media platforms charge for Enterprise API: https://zernio.com/blog/social-media-api-pricing
That's what the headline suggests. That isn't actually what is happening. Expensive fees for Enterprise API access is typical: https://zernio.com/blog/social-media-api-pricing
How is it illegal, every media platform charges large enterprise API fees: https://zernio.com/blog/social-media-api-pricing
People realize that expensive Enterprise API access is pretty common, right? https://zernio.com/blog/social-media-api-pricing Here is what Reddit charges: https://businesscloud.co.uk/news/reddit-api-cost-breakdown-what-you-actually-pay-in-2026/ All the big platforms charge 6 figures for Enterprise API access You may think Truth Social is stupid or irrelevant but it's on par with what other platforms charge
"App you get is API access, if companies want to pay for that, so be it, how’s that unethical." Because he is the goddamn president. What is so hard to comprehend that the presisdent should not give priority access to actions our country is taking for what is essentially a bribe?
I don’t know, I’m European, my feeble European mind can’t comprehend in the first place why you guys like him so much, but he never lied about saying he’d run the US likes his business. All of that aside, he’s a business man, not a politician. I’m not defending anyone, just an unbiased bystander that happens to work in this space, and it happened under any presidency, yet with Trump there’s vocal outcry for for all the things that might look bad at first optics. App you get is API access, if companies want to pay for that, so be it, how’s that unethical. He/no one forces u to, and you could scrape truth social any time and trade right as a new post appears, all you do is lose some milliseconds as the web page has to render the post, you’d still be faster than any other retail investor.
I don’t know how to ELI5, it’s just how data works. Everyone gets the same public post. What you’re really buying is a shorter wire, if you will. It’s the same as paying for a faster internet, it doesn’t give you any secret info or whatever, it just gives you quicker delivery of public information. Basically see it as low latency, low ping. An app or webpage like truth social was never designed to be as fast as possible to delivery media, it’s just not the medium. Truth soCal runs on a modified version of Mastodon which supports a server-side event stream, essentially a live feed the backend can push out continuously. Truth API payrs tap into that stream directly through a WebSocket based push feed, receiving structured JSON data, machine readable and algorithmically processable, within milliseconds of a post appearing on the platform’s servers. If you were to do something with an app or page, it will take a few (m)seconds longer to get everything sorted.
I guess the $100,000 he’s charging for the early API of his diarrhea tweets isn’t paying off for those Wall Street firms. Just a shame.
[Trump Media: More than 10 firms pay up to $100,000 a month for fast access to Truth Social posts](https://www.bbc.com/news/articles/ce3q5nxpgk1o) >More than 10 customers have signed up to Trump Media's controversial service that offers faster access to market-moving posts made on its Truth Social platform. >The service, Truth API, launched at the beginning of August and gives Wall Street traders first sight of posts from the social media site's most influential accounts. >The group, which is yet to make a profit, says it will refocus on its social media mission. >In July, it announced a plan to give Wall Street firms and institutional investors faster access to posts on Truth Social, where Trump frequently makes announcements. It has been viewed as a way to give subscribers an edge in trading stocks and other heavily traded assets. Cooked CPI, in-your-face corrupt stock market. Have fun FOMO-ing into US stocks Ameripoors while I watch my international stocks continue to outperform.
# 💡 Кто заплатит после IPO OpenAI и Anthropic? Исторические убытки от субсидирования доступа не будут погашены единовременным сбором, а перераспределены **каскадно через принудительную монетизацию уже сформированной зависимости**. Нагрузка ляжет на тех, чья стоимость отказа стала максимальной: |Стейкхолдер|Доля нагрузки|Как именно платит| |:-|:-|:-| |**Корпоративные клиенты (B2B)**|\~60–70%|Прямая наценка: рост тарифов за токены, оплата SLA/памяти/безопасности; vendor lock-in делает миграцию дороже обслуживания.| |**Партнёры / Стартапы / Интеграторы**|\~20–30%|Не деньгами напрямую, а возможностями: каннибализация успешных продуктов платформой, блокировки при попытке конкурировать, вынужденный рефакторинг под нативные API с повышенной маржой для платформы.| |**Публичные инвесторы**|0% прямых затрат, 10–15% риска волатильности|Принимают структурный риск: премия возможна только при доказанном устойчивом cash-flow без критического churn и регуляторных штрафов. При срыве стратегии — переоценка мультипликаторов.| |**Конечные потребители**|\~5–10% косвенно|Через цепочку операционных наценок в SaaS, финтехе, логистике и других сервисах, где AI стал core-процессом.| # ⚙️ Триггер монетизации После IPO фокус сместится с `burn-rate growth` на `cash-generative pricing`. Платформы активируют: 1. **Тарификацию по usage/memory/SLA** вместо flat-субсидий и бесплатных квот. 2. **Tiered access:** приоритет вычислений, ранних релизов моделей и техподдержки только для enterprise с долгосрочными контрактами. 3. **Барьеры миграции:** жёсткие лимиты API, сложности экспорта промптов/контекста, расширенная трактовка «конкуренции» в офертах (прецеденты блокировок ByteDance, Windsurf уже зафиксированы). # 🛡️ Что может изменить расклад Сценарий `power play` не является необратимым. Рынок ответит координированными контрмерами: * **Оркестрация и open-weight модели** (LiteLLM/vLLM + Llama, Mistral, Qwen) снизят switching costs до уровня инфраструктурных затрат. * **Bargaining-пулы enterprise-клиентов** вынудят переход к capacity-based pricing вместо usage-based rent extraction. * **Регуляторное давление** (FTC/EU DMA) может запретить дискриминацию через ToS и ввести стандарты portability данных. В этом сценарии финансовый груз частично вернётся к самим платформам в виде скидок, SLA-гарантий и операционных затрат на удержание клиентов. `Power play` превратится в `commodity race`. # ✅ Итог в одном предложении **Платят те, кто не диверсировал стек:** корпоративные клиенты — деньгами и архитектурной гибкостью через lock-in, партнёры — инновациями и долей рынка через каннибализацию, инвесторы — терпением к волатильности; стратегия перекладывает исторические убытки субсидирования на экосистему в момент, когда отказ от платформы становится экономически невыгодным, но рыночный отпор (open-source + оркестрация + регуляторика) способен вернуть счёт за монетизацию самим платформам.
Even before API, there were insider trades right before his tweets anywat
You can see the funds who have access to the Truth Social API reacting beforehand lmfao
>DJT: More than 10 firms pay up to $100,000 a month for fast access to Truth Social posts >https://www.bbc.com/news/articles/ce3q5nxpgk1o >More than 10 customers have signed up to Trump Media's controversial service that offers faster access to market-moving posts made on its Truth Social platform. >The service, Truth API, launched at the beginning of August and gives Wall Street traders first sight of posts from the social media site's most influential accounts. >The group, which is yet to make a profit, says it will refocus on its social media mission. >In July, it announced a plan to give Wall Street firms and institutional investors faster access to posts on Truth Social, where Trump frequently makes announcements. It has been viewed as a way to give subscribers an edge in trading stocks and other heavily traded assets.
>DJT: More than 10 firms pay up to $100,000 a month for fast access to Truth Social posts >https://www.bbc.com/news/articles/ce3q5nxpgk1o >More than 10 customers have signed up to Trump Media's controversial service that offers faster access to market-moving posts made on its Truth Social platform. >The service, Truth API, launched at the beginning of August and gives Wall Street traders first sight of posts from the social media site's most influential accounts. >The group, which is yet to make a profit, says it will refocus on its social media mission. >In July, it announced a plan to give Wall Street firms and institutional investors faster access to posts on Truth Social, where Trump frequently makes announcements. It has been viewed as a way to give subscribers an edge in trading stocks and other heavily traded assets.
Truth API users got the CPI numbers first
TruthSocial API just told me we're all getting cucked today 😭
guys I got Truth API. All in on DJT. your welcome.
Did you run the numbers or are you just talking like... generally out of your ass? The objections are not that serious (radiators and repairs), those things are going to be like 5% of the total cost. A land Vera Rubin AI factory is $50-60 billion / gigawatt. Besides power and politics, two things you might not have considered: 1. Time - Revenue per gigawatt is worth $48 billion per year on Blackwell (currently based on the Google deal), $100 billion per year in API revenue, likely to be double that for Rubin. Remember that terrestrial DCs take 2-4 years to build, if you can even save 1 year that's already worth the whole price of the DC. 2. Construction - Starmind busses come prefab on an assembly line, you skip all the land validation, architectural engineering that goes into each site. You end up with a low cost, optimized process and you're not going to get sued by a contractor. 3. Launches are to subsidize SpaceX's you know, space business, and in a sense can be considered free. SpaceX is going to scale out to build 10k Starships as soon as possible, and they need a guaranteed massive customer. Even if launches end up costing more than terrestrial (which it won't once you consider #1 and #2), it can result in massive economy of scale gain for the actual space business, which will be transformative for the company regardless.
AI: Rather than giving subscribers access to posts hours in advance, the service gives automated trading algorithms **millisecond-level (or multi-second) speed priority**. Paid API connections receive the data package directly into their systems before the post propagates across the standard Truth Social web app, mobile push notification network, or general internet scrapers. Blatant insider trading, but I find it really concerning that hedge funds or whoever is paying for this have markets gamed out to this extent, and it has already and will continue to get worse with ai. Its where ai was first used and trained, when everyone thought it was just a MSFT commercial with Common. Maybe even more concerning that these companies have fiduciary duty. CEO’s need to make the call on if the risk to shareholders - it is being sold by the president, after all - is worth the benefit to shareholders. Whether it is right or wrong morally needs thrown aside. Trump and his goon squad’s continued willingness to break the law and sell corporations the benefit is not only encouraging, but nearly forcing corporations to take part, thereby normalizing, step by step, our decent into and more directly enforced oligarchy.
Built my own. Includes options chain data, equities and market news. I can manually enter, import or copy/paste screenshot of the trade from the broker. I could wire it to connect directly to my broker, but not ready for that just yet and some brokers don't have an API or it's not reliable. There are a couple. Might use SnapTrade down the road to handle the connection. I'm still tweaking it frequently to get it exactly where I want. I'd be open to a few beta users if anyone interested. https://preview.redd.it/b5luczmlitih1.jpeg?width=1664&format=pjpg&auto=webp&s=3e4f3e8c713fdeaa6298a683a4194ee8bde05f39
**Reddit API Calls:** Daily Average: 8 ---Breakdown--- Loading Comments: 21.0% Loading Feed: 64.0% Mail: 5.0% Other: 7.0% Based on your usage over the last 1083 days
BREAKING NEWS: more than 10 firms have agreed to pay the 100,000 bribes for Troof Social API access.
Ai companies provide cheap subs for regular folks for the same reason Winrar doesn't force you to buy it. They want you used to it so you ask for it at work, which will then pay for bulk subscriptions or API pricing.
"JUST IN: TACO Media reveals 10+ customers have signed up for Truth API, paying up to $100,000 per month for faster access to Truth Social posts."
What’s the point of building something like this when you can get an API to a service that already has these numbers? The difficulty is never the numbers, it’s the story behind the numbers.
Some people with the Truth API got the memo already and it shows QQQ calls back in play, fuck SPY
people with the truth social API got the pre release for the perimeters of the Iran deal.
The distillation argument isn’t really valid. Sure it happens but why would you think Anthropic isn’t doing exactly the same? Either way the reality is that inference providers are offering strong models for next to nothing (eg DSv4 Flash). They have no real incentive to subsidise that use. OpenAI just slashed their API pricing by a huge amount due to the competition.
DJT should've charged way more than 100k for API access they don't understand who they are selling to.
DJT next quarter earnings after the API: 30B revenue
You're on the cheapo consumer level. Big corporate AI is based on API usage. I could blow $60 easily on a single basic prompt.
Says who? Cut back on training cost is fucking funny. They have to post train from model drift. Also “likely” from who ? Who reported GAAP standards to show that? The company leaked that in the 2 months they were profitable where they didn’t include any cost from data centers and annualized API revenue that fluctuates every month
Are you regarded? Dude is selling fast API access to his own social platform to make it easier for funds to beat plebs like you to the market. Yes, the world is conspiring to weaken the US for no reason at all. We never tried to meddle in their affairs, install loyal leaders in their “democracies”, take their resources, bind them to restrictive trade deals, encourage their neighbors to attack them, sell their invaders weapons, look the other way when said invaders used chemical weapons against civilians….Iranians just hate US because they are mean bullies and a gold plated elderly child is just the strongman we need to fight back.
They claimed to be profitable for 2 months now that API revenues are down from competitors they are unprofitable. They also claimed that because they didn’t have to pay 2 months of data center usage from spaceX So profitable if you don’t include your cost.
Real story, my company has been using GPT 5.4 API when it comes out, management fainted when they receive the monthly bill. They drag everyone using the room and ask why do we need the frontier stuff? (interestingly the team who set this up knows that it is a POC, POC meant to do what we can do or waht we cannot do right?) Then we switch to Deepseek overnight with 1/10 of the AI token cost. We don't really need local AI, hyscaler has been hosting Chinese model long time ago and they make huge profit with it. Deepseek runs much more efficiently and require less GPU compared to frontier. Management Win, Hyperscaler Win, OpenAI Lose in this case.