What if AGI doesn't come from LLMs at all?
What we do is predicting the next token and training on trillions of words written by humans.
What if we're still missing an entirely different way to build intelligence?
Something that learns, reasons, and discovers things through a mechanism we haven't even imagined yet.
Are we actually getting closer to AGI, or just getting incredibly good at one approach?
I build a lot of side projects, and the free tiers fill up fast. Now I run three backends on one $7/month service while I figure out which ideas have legs.
Each app keeps its own database. If one takes off, it gets its own service.
I run three side-project backends on one $7/month Render service.
I build a lot of side projects. Most are still at the stage where I’m figuring out whether anyone wants them. Free tiers got me started, but once I had several projects running, I hit their limits faster than I expected. Paying for a separate server for every experiment would add up just as quickly.
So I moved all three onto one Fastify backend. I deploy it once. Each app has its own API routes and database, and I can filter the logs by app when something breaks.
My next side project gets a route and a database on the same service. If one app grows enough to slow the others down, I’ll give it its own service. Its data is already separate, so I can move it without untangling the other apps first.
I run three side-project backends on one $7/month Render service.
I build a lot of side projects. Most are still at the stage where I’m figuring out whether anyone wants them. Free tiers got me started, but once I had several projects running, I hit their limits faster than I expected. Paying for a separate server for every experiment would add up just as quickly.
So I moved all three onto one Fastify backend. I deploy it once. Each app has its own API routes and database, and I can filter the logs by app when something breaks.
My next side project gets a route and a database on the same service. If one app grows enough to slow the others down, I’ll give it its own service. Its data is already separate, so I can move it without untangling the other apps first.
I kept losing track of what Claude & Codex had actually finished, when working on multiple features and multiple projects at the same time.
So I built Petal 🌱
A task board your agents can update.
Progress, findings & next steps across projects.
Local JSON. Local Git history (you can also add a private repo to sync your checkpoints). No account needed.
Free & open source ↓
https://t.co/927MlIW8tm
I kept losing track of what Claude & Codex had actually finished, when working on multiple features and multiple projects at the same time.
So I built Petal 🌱
A task board your agents can update.
Progress, findings & next steps across projects.
Local JSON. Local Git history (you can also add a private repo to sync your checkpoints). No account needed.
Free & open source ↓
https://t.co/927MlIW8tm
Hey Mihai! I'm Lucky, a backend & AI engineer currently building Blitzit's backend infrastructure from scratch, including integrations, distributed systems, and 70+ AI tools.
I've also founded and shipped my own products, so I understand both the engineering and startup sides. Would love to explore how I could bring that perspective to a VC team.
My work: https://t.co/PvqTH8AtNz
(can't dm you as my verification badge is under review)
VS Code is basically a Git GUI for me now.
Claude Code and Codex do the coding.
I still open VS Code just to review git changes across multiple repos in the source control.
Give these agents a proper multi-repo source control panel and I might never open my IDE again.
TODO.md is where tasks go to die.
Once the list got long, I stopped reading it. So did my coding agent.
So I replaced it with JSON files and one HTML page.
The agent writes and updates the rows. I review and comment, live in the browser.
#buildinpublic
TODO.md is where tasks go to die.
Once the list got long, I stopped reading it. So did my coding agent.
So I replaced it with JSON files and one HTML page.
The agent writes and updates the rows. I review and comment, live in the browser.
#buildinpublic
looked at blitzit 3.0's usage by country over the last 30 days.
1,261 users across 96 countries.
🇺🇸 us: 35.4%
🇬🇧 uk: 8.6%
🇮🇳 india: 5.6%
🇩🇪 germany: 5%
🇨🇦 canada: 3.4%
Hey devs,
Tired of burning through your paid AI coding tokens just to build prototypes?
OpenCode has free models, but they're not always reliable, and their image input/output capabilities are limited.
So I built something, and I've been using it myself.
Hey devs,
Tired of burning through your paid AI coding tokens just to build prototypes?
OpenCode has free models, but they're not always reliable, and their image input/output capabilities are limited.
So I built something, and I've been using it myself.
Let ChatGPT inspect local images and project files.
Build and experiment with prototypes without consuming your Codex or other coding-agent quotas.
The best part? You can do all of this directly from https://t.co/KgFYIzvRXj, without needing a separate coding agent.