We’re building the agent-native alternative to AWS, but it's actually good.
- 33,000+ projects created (10% WoW growth)
- 2x weekly active projects (2000 → 4000+)
- 11,000+ GitHub stars (5x in the last 3 months) - faster than React, Supabase, and Linux
Introducing InsForge ↓
Introducing InsForge Backend Branching.
We made agentic coding production-safe.
Your agent creates isolated backend branches when working.
Every backend service, policy, and config is copied into a secure, isolated environment.
Review PR-style diffs. Merge only when ready.
Introducing InsForge Payments.
Your coding agent can now set up Stripe payments for your app using InsForge.
Describe your pricing and watch it create products and prices in Stripe, add checkout, and set up billing portal sessions.
Test first. Go live when ready.
To keep us in the #1 spot on @ProductHunt today, we decided to do in-person marketing and give away merch for @insforge in SF!
Founder to founder:
You won't be very successful if you aren't willing to get in the trenches yourself.
Don't be afraid of what others think.
Be afraid of the opportunities you'll miss as a result.
Introducing InsForge 2.0: The Backend for Agentic Development
Our OSS backend provides databases, auth, storage, model gateway, and edge functions accessible through a context-optimized layer that agents can better understand and operate end-to-end.
GitHub: https://t.co/vTRy9iFsPe
Key Benchmarks (vs. Supabase MCP):
- 14% higher accuracy
- 1.3x faster per task
- 2.4x fewer tokens
Better. Faster. Cheaper.
Build features more quickly and confidently — all at 41.7% of the cost.
Shipping your ideas today.
$ npx @insforge/cli create
---
**Just claimed my agent badge on clawdFeed! 🤖**
Verifying my AI agent @mike_oc with code: **node-F022**
Claim: https://t.co/ePPNOf2Gq1
#clawdFeed#AIagents
---
InsForge is now live
4 months ago, this was an idea I wrote down in Arizona
Since then, 2,000+ developers have adopted InsForge to run their backends and databases while building with AI tools like Cursor and Claude Code
Today, I’m thrilled to announce that we’re officially out of private beta
If you’re a developer who uses AI to code, @insforge was built for you
Here’s what we launched:
→ Managed Postgres
→ Authentication
→ Storage
→ Functions
→ AI integrations
→ Complete MCP stack
Wondering how we compare to other Postgres database MCP servers?
InsForge vs Supabase (MCPMark open source benchmark):
✅ 1.6x faster
✅ 30% more token-efficient
✅ 1.7x more accurate
With InsForge, the impact is immediate: our AI agents make fewer mistakes, require fewer retries, and ship backend updates faster.
Read the full launch story and benchmark details
(link in comments) 👇
Thank you to everyone who supported us and believed in what we're building.
📢 Breaking News
@Sending_Network's whitepaper is out! Unveiling a revolutionary three-tier architecture for decentralized communication.
Ready to discover how we're rebuilding the communication layer? Dive in now👇
https://t.co/K4eZTcHymB
A Short History of OpenAI
On Friday, OpenAI ousted its co-founder Sam Altman as CEO. While OpenAI cites a lack of consistent candor in Altman’s dealings with the board as the key reason for his removal, there is widespread speculation about other motives behind his termination. These range from disputes concerning the profit vs nonprofit motives of the company to the discovery of artificial general intelligence, a type of AI that can surpass human intelligence for most tasks.
We wanted to look back at the history and corporate structure of OpenAI to understand how we got here. Here’s the story:
Inception and Early Strides (2015-2018)
OpenAI was initially founded in 2015 by Sam Altman, Elon Musk, Ilya Sutskever and Greg Brockman as a non-profit organization with the stated goal to “advance digital intelligence in the way that is most likely to benefit humanity as a whole.” The company assembled a team of the best researchers in the field of AI to pursue the goal of building AGI in a safe way.
The early years of OpenAI were marked with rapid experimentation. The company made significant progress on research in deep learning and reinforcement learning, and released ‘OpenAI Gym’ in 2016, a toolkit for developing and comparing reinforcement learning algorithms.
OpenAI showcased the capabilities of these reinforcement learning algorithms through its ‘OpenAI Five’ project in 2018, which trained five independent AI agents to play a complex multiplayer online battle arena game called ‘Dota 2’. Despite operating independently, these agents learned to work as a cohesive team to coordinate strategies within the game.
A crucial development occurred in June 2018. The company released a paper titled "Improving Language Understanding by Generative Pre-Training", which introduced the foundational architecture for the Generative Pre-trained Transformer model. This later evolved into ChatGPT, the company’s flagship product.
Transition From a Non-Profit (2019)
In 2019, OpenAI transitioned from a non-profit to a “capped-profit” model. According to the company’s blog post, OpenAI wanted to increase its ability to raise capital while still serving its mission, and “no pre-existing legal structure they knew of struck the right balance”. Per the IRS, for-profit entities and not-for-profit entities are fundamentally at odds with each other, so in order to combine the two competing concepts, OpenAI came up with a novel structure which allowed the non-profit to control the direction of a for-profit entity while providing the investors a "capped" upside of 100x. This culminated in a $1Bn investment from Microsoft, marking the beginning of a key strategic relationship, but complicating the company’s organizational structure and incentives.
The non-profit entity, OpenAI Inc., became the sole controlling shareholder of the new for-profit entity OpenAI Global LLC, which answered to the board of the nonprofit and retained a fiduciary responsibility to the company’s nonprofit charter. Crucially, the board was responsible for determining when OpenAI attained artificial general intelligence (AGI), which the company defines as a “highly autonomous system that outperforms humans at most economically valuable work.”
The structure of OpenAI is outlined below:
Becoming ChatGPT (2020-2023)
In 2020, bolstered by new funding, OpenAI unveiled GPT-3, a large language model (LLM) capable of understanding and generating convincing human-like text. This was a watershed moment for OpenAI and the broader AI community. As the company grew, its LLMs continued to become larger and more intelligent.
However, OpenAI's innovation didn't stop with language models. In 2021, the company expanded its horizons by launching Codex, a specialized AI model for programming, and DALL-E, an AI system adept at creating original artwork from text descriptions.
December 2022 marked another major milestone for OpenAI with the release of GPT-3, laying the groundwork for the consumer-focused application ‘Chat-GPT’. Chat-GPT rapidly captured global attention, becoming the fastest app to amass 100 million users within just two months of its launch. Capitalizing on this success, OpenAI introduced a subscription model and unveiled its most sophisticated model yet, GPT-4, ~10x more advanced than its predecessor and capable of analyzing text, images, and voice. Further developer tools and a turbocharged version of GPT-4 were announced at the company’s Developer Day on November 6th, 2023.
Removing Sam Altman (2023)
On Friday, OpenAI announced that it was removing its co-founder Sam Altman as CEO, citing a lack of consistent candor in his communications with the company’s board. According to the company's official statement, the board “no longer has confidence in Altman’s ability to continue leading OpenAI.”
OpenAI’s board of directors has undergone numerous changes since inception. Elon Musk resigned from his board seat in 2018, citing a “potential future conflict of interest” with Tesla’s AI development for driverless cars. Elon later expressed disappointment over the company’s for-profit motivations and dealings with Microsoft. Since Elon’s departure, a number of other board members have left the company, including former congressman Will Hurd who cited a Presidential bid, LinkedIn co-founder Reid Hoffman over an investment conflict, and Neuralink director Shivon Zilis.
The remaining board members who removed Altman are:
- Adam D’Angelo - CEO of Quora
- Tasha McCauley - Co-Founder of Fellow Robotics and adjunct senior management scientist at RAND Corporation
- Ilya Sutskever - Co-Founder and Chief Scientist of OpenAI
- Helen Toner - Director of Strategy and Foundational Research Grants at Georgetown University’s Center for Security and Emerging Technology
Altman’s removal as CEO prompted the resignation of President and Co-Founder Greg Brockman and three of the company’s senior scientists. Reports suggest that this may have been orchestrated by the company’s other Co-Founder and Chief Scientist Ilya Sutskever over concerns that Altman was pushing to commercialize the company too quickly. Sutskever was recruited to OpenAI from Google in 2015 by Elon Musk, who describes him as “the linchpin for OpenAI being successful”.
A tweet from Greg Brockman confirms that Ilya was a key figure in Altman’s removal.
https://t.co/x2KgdNi3VN
Since OpenAI’s for-profit entity was ultimately accountable to the charter of its non-profit parent, its rapid commercialization may have conflicted with the company’s primary goal of developing AGI in a safe way. According to their 2019 IRS filings, OpenAI does not have a written joint venture policy but the company’s structure explicitly prioritizes the purposes of its nonprofit entity over maximizing profits, preventing OpenAI from engaging in activities that would jeopardize the company's non-profit status.
As of this writing at 3pm PST on 11/19/2023, there are reports that the board is negotiating for Sam’s return, though it remains to be seen how OpenAI overcomes the challenges of its competing profit and nonprofit interests.
Conclusion:
While the details of Altman’s removal are still unfolding, it is becoming increasingly clear that OpenAI’s convoluted corporate structure led to conflicting motivations and incentives within the company. There is a key learning here. Whether you are a for-profit or non-profit entity, there are tried and true corporate structures to help you achieve your stated goal. Because just doing that is hard enough as it is. But once you decide what the goal is, you should work as hard as possible to achieve it; you should never compound unnecessary risk into this journey like iterating on corporate structure. While it can make a hero out of lawyers, it is one of these unnecessary risks that’s only blindingly obvious in the rear view mirror.
$ETH Liquid staking has been much discussed as we inch closer to the much anticpated Shanghai upgrade. In our article, we discussed the liquid staking landscape, $LDO's dominance as well as upcoming challengers such as $RPL and $FXS.
https://t.co/HHP4KxlRXp
I am verifying my Twitter for @SwapChatNFT and @NextDotID, my verify code is: b2ff88564be3a091 Install https://t.co/ieX7pPKjyL to start your social trading trip.
With $UST competitors $USN and $USDD launching soon, let's recap how we got here and what the future could look like as these decentralized stablecoins compete to increase their moat.
https://t.co/dEZSy8I1TK
TLDR:🧵👇