Cr

Create agents that grow to fulfill their purpose

Hacker News

Create agents that grow to fulfill their purpose

Hey HN, Everyone is trying to bundle everything into a single agent, I wanted to try different approach and create long running agents that build themselves around a purpose they are trying to fulfill. For example if you task new Wolli agent to be your calorie counter it will set up a logging file and communication channel(telegram, WhatsApp) to talk to you. It comes with several built in integrations and is infinitely customizable. I even created agent that joined my Minecraft server and acted as admin/mod. It's designed to be highly flexible and extensible while keeping minimal core so it doesn't get bloated with context.

Visit product View on Hacker NewsJun 29, 2026

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, new · Missing: mac, macos, cursor

81%81% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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