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17,045 products · 82,562 snapshots
Terse

Terse

Quiet signal

Build React UIs with 75% fewer agent tokens

Launched 23d ago
Signal
20
Velocity
0

What this means

40%Vote pace is below typical for Coding Tools.
Running at 40% of comparable launches.
19Founder Conviction Index: 19 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.

Prediction

Top-5 finish probability
3%
today
Projected end-of-day votes
3range 2–4
Trajectory
stable
Vote pace holding steady.
Speed vs peers
0.4×
23 Coding Tools launches

About

Terse is a tiny, presentation-only UI language for coding agents. A Vite plugin compilesterse views at build time into the same React + shadcn/ui + Tailwind your agent writes today: ~76% fewer tokens (755 vs 3,130 across five benchmark screens), zero runtime. Typos fail the build with file:line:col and the fix, so agents self-correct. State and data stay in TSX, and the output is plain TSX you can keep. Works with Claude Code, Cursor and Codex. Open source, MIT.

AI Summary

Terse is an open-source UI language that compiles to React, reducing agent token usage by approximately 76% at build time. It integrates with existing tools like Claude Code and Codex, providing error feedback during the build process.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement—
not measured

Signal sources

2 of 6 active
  • Launch tracking7 readings since we picked it up
  • AI analysisCoding Tools
  • Comment intelligencethread not yet analysed
  • Outside discussionnot checked — domain is a storefront or shared
  • Revenue signalsno match on this domain
  • Editorial scoringbelow the signal threshold for this pass

A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.

Founders

Divyansh Gupta
@divyansh_gupta2
rep 14
Divyansh Gupta
@divyansh_gupta2 · hunter

Topics

Developer ToolsArtificial IntelligenceGitHubOpen Source