Self-Promotion
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Michael Anthony

2mo ago

Using chat gpt to turn 10 years of development into 6 weeks

GameFi is broken because static systems die under dynamic stress. After three decades building full-stack architecture, I got tired of watching crypto economies bleed out the second liquidity dries up. So, for GrowHouse, I threw out the standard static-emission playbook and built the Blaze Balance Engine.
This isn't just a token attached to a database. Blaze is a live, AI-guided macroeconomic control layer built for absolute survival. Here is how the architecture actually works under the hood:
Zero-Latency Pool Reads: We don t rely on lagged third-party APIs (CoinGecko/CMC). Blaze is wired directly to the active on-chain AMM pools. It reads raw pair health, route availability, and volatility at the source. It knows the exact market pressure before the players do.
Dynamic Friction as a Defense: When the pool reads high stress, Blaze doesn't just sit there while farmers drain the treasury. It spikes "Storm Pressure," dials back the jackpot cadence, and increases gameplay friction. We slow the reward flow to match the reality of the chain. The Web2.5 Shield & Player Retention: But throttling rewards kills bad games. GrowHouse survives because the core loop an MMO farming and Drug Wars-style arbitrage simulator runs off-chain. Players are grinding, trading inventory between AI factions, and locking up their internal resources in a staging vault to dodge Blaze's in-game hazard taxes. They stay engaged because the gameplay is highly strategic, even when the macro-economy tightens. Furthermore, actual liquidity withdrawals are strictly gated behind a 100k holding requirement and manual treasury caps, completely eliminating the threat of automated bank runs. Macro-Resilience, Not Price Manipulation: I m not promising artificial price floors that's a scam. What I m engineering is pure risk-response logic. GrowHouse isn t a yield farm. It is a living Web2.5 ecosystem that breathes with the market, paces itself during a storm, and mathematically prevents the death spiral.
Links
https://www.420bt.com/
https://growhouse.420bt.com/dash...

Arham Mirkar

2mo ago

Zapier + Slack + Asana + Notion Is Not a Workspace — It's a $312/Month Maintenance Problem

The short version: the average agency pays $231 312/month for a "connected" stack that breaks every time one API updates. We break down the 5 technical reasons Zapier automations fail and show what a natively unified workspace looks like under the hood.

Full post kobin.team/blog/zapier-slack-asana-notion-alternative

If you've ever gotten a "Your Zap is off" email during a client deadline, this is for you.

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Mario Wu

2mo ago

AgentLint – Lint your repo for AI coding agents

ai coding agents were driving me crazy. same mistakes over and over, switching models and rewriting prompts didn't help much.

so I flipped the question if I can't fix the model, maybe the problem is my repo? to figure this out I dug into Claude Code's internals, went through 265 versions of its system prompt to see how it evolved, read a bunch of papers on instruction-following, and tore apart a lot of open source repos.
turns out most of the problems are in repo-level details. like: cramming too many "IMPORTANT" keywords actually makes the model ignore them (Anthropic themselves cut it from 12 down to 4). files over 256KB silently fail to load. and if your .env isn't gitignored, the agent can just read all your secrets.

I turned all of this into AgentLint 33 checks covering findability, safety, instruction quality and more. every check is backed by a paper or real data, not vibes. it scores your repo, shows whats wrong, and auto-fixes some of it. currently a Claude Code plugin, but its all bash + jq under the hood. MIT licensed.
feedback welcome
Github https://github.com/0xmariowu/Age...

Pedro Miles

2mo ago

We listened to your feedback on Reddit & PH—here's what we learned

Hey everyone!

We launched recently and got some amazing feedback from this community and over on Reddit. Rather than just say thanks, we wanted to share what we learned and ask for your continued input.

Key feedback we're acting on:

  • Speed & accuracy Users love how quickly Namegator finds available domains and alternatives. The real-time availability checker saves them hours compared to checking registrars one by one.

  • Creative suggestions People appreciate that the tool doesn't just tell you if a name is taken it generates smart alternatives and variations. Several users mentioned this helped them land better domain names than their original ideas.

  • Integration with registrars The most requested feature? One-click buying directly from Namegator or seamless checkout flow. We're working on streamlining this based on your feedback.

Damien

2mo ago

I kept loosing my best AI prompts. So I built this.

You know that feeling when you've finally cracked a Midjourney or ChatGPT prompt?

The exact seed, the lighting words, the style reference that just works. You run it. The output is perfect. You feel like a creative genius.

Then three days later, you can't find it. You search your notes app. Nothing. You dig through Discord history. Gone. You scroll through ChatGPT conversations like an archaeologist. You try to recreate it from memory. It's never the same. That prompt is just... lost.

This happened to me one too many times. I was juggling prompts across Notion pages, sticky notes, a random .txt file on my desktop, and three different AI tools and every time I wanted to build on something that worked, I was starting from scratch.

Hassan Rashid

2mo ago

Developing an ML preprocessor to solve an actual problem

so i am a high school student and take part in lots of kaggle competition but the main problem i face is data cleaning especially for datasets above the size of 80 mb even claude or chatgpt have a limit of 30 mb, it takes at least 2-4 hours to clean a dataset and make it ML ready therefore to solve this problem i am developing an preprocessor that takes your messy CSVs and clean it according to the algorithm you will use XGboost, Regression and etc looking for your insights like is this actually useful and may work or i am overthinking.....

you can try the mvp

https://refineai-six.vercel.app

Validating an idea: gifting subscriptions for AI tools

Hey everyone!

I m currently validating a small idea that came from a personal frustration: you can t gift most AI tools.

Jingwei Hao

2mo ago

first product hunt launch - panorama

Hi , this is my first product hunt launch, it's exciting - I'm also nervous.

Would appreciate support and love to hear feedback!

Zahle Khan

2mo ago

Anyone else doing a April Fools launch

We just launched openpui.com UI for Pets. Our focus has been human and agent users so I thought it would be fun to get pets a UI too.
Would love to hear about your launches as well.