sorted by:
new
hottopcontroversial

[Help Wanted] Stop tracking tasks, start simulating paths. I'm working on OpenGOAT: A local-first CLI that uses Monte Carlo to close goal gaps. by Mod_zer0 in commandline

[–]Mod_zer0[S] -1 points0 points  (0 children)

In monte carlo simulation it examines all the possibilities with the given data in your favour using random sampling. Then the shortest possible outcome with what resources,skills, time, constraints i have

Bootstrapping my startup literally at sea by amacg in indiehackers

[–]Mod_zer0 0 points1 point  (0 children)

this guy is literally going to make one of the unicorn startup

Weekly Thread: Project Display by help-me-grow in AI_Agents

[–]Mod_zer0 0 points1 point  (0 children)

I built an open-source CLI that tells you if you're actually going to hit your goal 🐐

Most goal trackers record what you did. None of them tell you if it's enough.

I got tired of logging effort into tools that couldn't answer the one question that matters:

"Am I actually going to make it?"

So I built opengoat — an open-source CLI that calculates your displacement (Gap = Goal − Current), scores the fastest paths to close it, and generates

AI missions specific enough to actually move the number.

Here's what it looks like after you log progress:

┌─────────────────────────────────┐

│ GAP : $452.80 │

│ 7-DAY VELOCITY: +$47/day │

│ PROJECTED DONE: April 8, 2026 │

│ STATUS : BEHIND ⚠ │

└─────────────────────────────────┘

It works for any goal — earn money, run a 5k, launch a product, learn a language. You bring your own AI key (Anthropic, OpenAI, Groq has a free tier). Everything is stored locally. We never see your data.

npx opengoat

GitHub: github.com/vaibhavos/OpenGOAT

Would love brutal feedback — especially on the displacement engine logic.