GitFish

Launch a coin for any GitHub project.

Support open source projects at the earliest stages 👇

[GitFish @gitfish]

We have decided to sunset GitFish and wind down operations.

It was launched as an experiment to explore new models for open-source funding. We are grateful to the community and our partners who joined us for the ride.

Onward.

[GitFish @gitfish]

If you are interested in launching an open-source x402 project on Solana and need funding, DM is open

[Solana Developers @solana_devs]

Interested in how to build with x402?

Join us tomorrow to learn about x402 and build on Solana for the x402 hackathon

https://t.co/xqhdi6At71

[GitFish @gitfish]

zao an ☀️

[GitFish @gitfish]

How to launch a coin for any github repo in ~15 secs:

[GitFish @gitfish]

@metasal @beeman_nl 👀

[GitFish @gitfish]

From day one, the @MeteoraAG team has been incredible to work with — no BS, just fast, hands-on support. They jumped in right away to help us integrate and have been reliable partners ever since. We're using their fee scheduler to help prevent sniping in our platform.

Solid tech and team.

[Meteora @MeteoraAG]

Meteora has the Best Tech. The Best Launchpads.

And today, we’re taking it to the next level.

We’re dropping 3 massive product upgrades that will change how tokens launch forever:

Presale Vaults
Meteora Invent
Dynamic Fee Sharing

You’re gonna want to see this.

[GitFish @gitfish]

@SolanaSensei Just do it.

[GitFish @gitfish]

@solana @Uniswap Devs keep shipping.

[GitFish @gitfish]

15 years. 0 VC. 100% Open Source.

[AI.阿烈叔 @zxlie_fehelper]

#3｜Why FEHelper Has Survived 15 Years

When I started FEHelper back in 2011, I never expected it to last this long. Fifteen years later, it’s still alive—not because of marketing hype, but because of a community, a purpose, and countless small acts of trust.

Around 2014, FEHelper’s user base on Chrome began to grow more obviously. Users kept sending me requests, ideas, and feedback. Maintaining everything alone became harder. So I decided to open-source it on GitHub: https://t.co/OX3uVwgeI6. That decision changed everything.

After going open source:
- The repo began receiving Stars and Forks (now ~5.4k stars and ~1.3k forks)
- Developers submitted issues and pull requests; the project entered a real “community maintenance” phase
- FEHelper started to surface frequently in developer blogs, technology portals like Juejin, CSDN, plugin recommendation lists, and “must-have frontend tools” articles
- Users wrote tutorials, shared usage scenarios, recommended the tool to colleagues
- Some enthusiastic users even created WeChat groups for FEHelper, where they discuss bugs, features, usage tips
- Across platforms like WeChat, Douyin (TikTok China), Toutiao, and blogs, users also spread the word, writing short posts or sharing screenshots

Because of this organic energy, I kept carving out time from my day job to fix bugs, optimize features, and respond to feedback. Every issue, every pull request, every message—and yes, every small donation—was a reminder that someone was using and believing in what I built.

One touching detail: even though FEHelper remains fully free and open source, many users have sent me small red envelopes (donations) simply to say “thank you.” I never asked for it, but receiving those gestures was deeply motivating.

Recently, I was invited by @gitfish to officially list FEHelper on their platform—bringing it to more eyes and reinforcing its place in the open source ecosystem. For me, that feels like a new chapter unfolding. FH$ (https://t.co/7eZGTYrA4a)

So why has FEHelper survived 15 years?
Not by chasing trends or marketing pushes, but by real connections with users, by trust built over time, and by small contributions accumulating into momentum.

Forever grateful to everyone who has used, recommended, contributed, or supported FEHelper. Next time, I’ll talk about where I’d like to take FEHelper next—AI-powered assistants, agent integration, lightweight IDE embedding, and more.

[GitFish @gitfish]

gm

[AI.阿烈叔 @zxlie_fehelper]

今天想和大家分享一下，我当初为什么会创作 FEHelper (
https://t.co/hKscohQwKp )

时间回到 2011 年，那时候我在 百度 做前端工程师。
每天的工作中，我常常需要在 console 控制台里手动写一堆代码去调试、格式化、排查问题。
不仅是我，团队里很多工程师都有一样的困扰——重复、低效，但又不得不做。

[GitFish @gitfish]

Excited to see how crypto is making real impact for open-source developers

[AI.阿烈叔 @zxlie_fehelper]

大家好，我是 FeHelper （$FH）的作者阿烈叔（烈神），它是一款为开发者打造的开源浏览器插件，集成了 30+实用的工具。从第一版发布到现在已经走过 10 年，全球已有超过 20 万开发者在使用。

最近第一次真正感受到 Crypto 的力量 —— 从完全没接触，到看到链上社区如何支持创作者，这种体验太震撼了！

[GitFish @gitfish]

@spotsdotfun @solana LFG!

[GitFish @gitfish]

@INB4WW3 you can copy it here

[GitFish @gitfish]

10k stars in 24hrs. nanochat is going crazy.

open-sourced by Karpathy.

who’s launching a coin to show support ❤️

https://t.co/I4aksCgog2

[Andrej Karpathy @karpathy]

Excited to release new repo: nanochat!
(it's among the most unhinged I've written).

Unlike my earlier similar repo nanoGPT which only covered pretraining, nanochat is a minimal, from scratch, full-stack training/inference pipeline of a simple ChatGPT clone in a single, dependency-minimal codebase. You boot up a cloud GPU box, run a single script and in as little as 4 hours later you can talk to your own LLM in a ChatGPT-like web UI.

It weighs ~8,000 lines of imo quite clean code to:

- Train the tokenizer using a new Rust implementation
- Pretrain a Transformer LLM on FineWeb, evaluate CORE score across a number of metrics
- Midtrain on user-assistant conversations from SmolTalk, multiple choice questions, tool use.
- SFT, evaluate the chat model on world knowledge multiple choice (ARC-E/C, MMLU), math (GSM8K), code (HumanEval)
- RL the model optionally on GSM8K with "GRPO"
- Efficient inference the model in an Engine with KV cache, simple prefill/decode, tool use (Python interpreter in a lightweight sandbox), talk to it over CLI or ChatGPT-like WebUI.
- Write a single markdown report card, summarizing and gamifying the whole thing.

Even for as low as ~$100 in cost (~4 hours on an 8XH100 node), you can train a little ChatGPT clone that you can kind of talk to, and which can write stories/poems, answer simple questions. About ~12 hours surpasses GPT-2 CORE metric. As you further scale up towards ~$1000 (~41.6 hours of training), it quickly becomes a lot more coherent and can solve simple math/code problems and take multiple choice tests. E.g. a depth 30 model trained for 24 hours (this is about equal to FLOPs of GPT-3 Small 125M and 1/1000th of GPT-3) gets into 40s on MMLU and 70s on ARC-Easy, 20s on GSM8K, etc.

My goal is to get the full "strong baseline" stack into one cohesive, minimal, readable, hackable, maximally forkable repo. nanochat will be the capstone project of LLM101n (which is still being developed). I think it also has potential to grow into a research harness, or a benchmark, similar to nanoGPT before it. It is by no means finished, tuned or optimized (actually I think there's likely quite a bit of low-hanging fruit), but I think it's at a place where the overall skeleton is ok enough that it can go up on GitHub where all the parts of it can be improved.

Link to repo and a detailed walkthrough of the nanochat speedrun is in the reply.

[GitFish @gitfish]

@dannxbt @MeteoraAG LFG

[dann @dannxbt]

the incentive system for open source projects is broken

open source powers nearly everything we touch or use today, but developers who build in the open are still eating plain cai fan no fish, no egg.

@gitfish's innovation with @MeteoraAG's flexible fee customizations changes everything.

we let launchpads who build on top of us dictate how they want to split their fees, and this gives room for stellar teams to innovate and build cool stuffs such as a wrapper program on top of our already super customizable fee structure to delegate fees to even more recipients.

now launchpads can:
- incentivize retail.
- reward stakeholders.
- build flywheels? 👀

like @0xSoju said. 10 launchpads, 10 different configurations, all powered by the most dynamic liquidity layer

meteora

[GitFish @gitfish]

8/ Over the coming weeks, we’ll be running a series of experiments to see where GitFish can create the most value.

If you are excited by this, or building in the open source space, we would love to chat! Just drop us a DM 🐟

And join our TG community at: https://t.co/4ZxlLYTzQU

[GitFish @gitfish]

1/ Last week, we shipped GitFish V2, letting anyone raise capital and attention for open source projects by launching a coin.

Here’s how it works:

[GitFish @gitfish]

7/ Project maintainers can claim community launched coins to collect earnings (0.5% fees).

This allows them to use the funds to grow the project and give back to early supporters.

More details here: https://t.co/FbbBOPWUJt