
Slaet — Think clearly
A browser-native intent memory for individual contributors. Never lose what you meant to do.
@Slaetapp · X
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60 projects

A browser-native intent memory for individual contributors. Never lose what you meant to do.
@Slaetapp · X

Scoply turns agency client meeting transcripts and scope baselines into risk flags, scope-change alerts, and protection-ready follow-ups
@theshaunak_twit · X

Deploy any of 400+ open-source tools on your choice of 9 cloud providers.
@Dil_Lynn · X

Track AI usage, apply guardrails, and maintain audit evidence for your projects.
@Lathithaa_Mdayi · X

Share context across AI agents so they remember your codebase and task history.
@dorikuio · X
AI agents have amnesia — Claude Code figures out the codebase, an hour later Codex starts from zero. So I built a shared memory + task board for every MCP agent — Claude Code, Codex, Cursor, Gemini CLI: Is this just my problem? Help me find out.

Convert changelogs into X threads that preserve accurate API and version details.
@BChopLXXXII · X
Hey Jana, 👋 already connected but thought I would drop my product here. I built it helps builders turn their changelogs into X threads without making stuff up. Would love some feedback...

Organize markdown notes with progress tracking and visualize them as interactive mind maps
@vasanthadabala · X
Not really a startup. It's just something I built for myself a simple note taking app with a planner, progress tracker, and mind map I'm going to share it publicly @NodesMap check it

Review GitHub pull requests in a native app without opening github.com.
othmanosx · HN
I still don't like the fact that AI is adding more stuff for us to read, it's accelerating the code production but slowing down the code review. I built my own code reviewer as well ( https://pyor.review/ ), surfacing the important stuff first is the right track, but adding more stuff to read is daunting, but asking AI to just point you to what you need to focus on and skim the noise is what I'm leaning more towards.

Design, validate, and compare AI agent deployments across multiple runtimes with governance built in.
@paulrodturner · X

Free platform for testing, monitoring, and analyzing APIs with real-time insights.
@SajidAbuba74138 · X
A tool for developers

Write software functional specifications designed to work for both humans and AI.
@spec_tacul_ar · X
Specifications for humans and AI.

Tests LLM endpoints with adversarial cases and provides OWASP-mapped security audit reports.
@aryaan_sheth · X
- LLM security for small teams