
Grammar — Your ideas deserve better than scattered tools
Capture meetings, write notes with AI, and create diagrams on a shared canvas in one place.
@rubs_murga · X
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21 projects

Capture meetings, write notes with AI, and create diagrams on a shared canvas in one place.
@rubs_murga · X

Constants is one workspace of tools for Claude and ChatGPT. Use your Gmail, Calendar, Sheets, and Notion, make video, music, and ads, and build tools for anything else. Connect onc
@arturf124 · X
Tools for ai assistants and having a blast doing. Demo:

Combine multiple AI models in one place. Run multi-AI chat and AI meetings where ChatGPT, Claude, Gemini and more collaborate, compare, and debate. Start free.
@PayCall_ · X

Inspect your OpenCode sessions in detail. Messages, tool calls, reasoning, tokens, and cost — all in one place.
shadeslayer_ · HN
Openvisor – A Session Explorer for OpenCode

Analyzes agency meeting transcripts to detect scope creep risks and generate alerts.
@theshaunak_twit · X
ScopeShield ( A platform designed to kill scope creep for agencies and teams before it eats their margins. Built so you don’t forget scopes and stop doing unbilled work.

Tell Movo what you want and what you're open to. Meet someone when both of you can benefit.
@ananomous644 · X

Match with friends based on shared values through question-based comparisons.
zloy88 · HN
ValuePair – a friendship app that cares about values first

Keep medications, appointments, documents, memories, and family check-ins together in one private timeline.
@Berbir12 · X
introducing LifeLens Your health history shouldn’t be scattered. Keep medications, appointments, documents, memories, and family check-ins together in one private timeline. Your health story, remembered.

CruxPack turns lecture PDFs and slides into clean structured notes, flashcards, and practice problems — built for students who need to memorize fast.
@cruxpack · X
CruxPack, built with Claude Code; turns a lecture PDF or your own notes into flashcards, notes, and practice questions. A second model checks the first against the source for hallucinations. Demo: Would love to post in r/vibecoding if allowed.