TRACEABLE OPEN-SOURCE DEMAND SIGNALS

Opportunity Radar

We scan public GitHub Issues for recurring requests, workflow friction and missing capabilities—then rank the strongest signals without hiding the original evidence.

58 signals · Last data refresh Oct 6, 2026, 4:01 AM UTC

ISSUE SCAN COVERAGE35 / 36 current repositories · 3 new

“New” means first detected by the Radar within 48 hours. Live opportunities come only from projects in the current curated feed; archived projects remain searchable as historical research but cannot leave stale demand signals here.

Evidence signal, not proof of market demand.

A popular Issue can reveal real friction, but it does not prove willingness to pay. Use these leads for interviews, validation and product discovery.

FROM SIGNAL TO ACTION

A 3-step validation sprint

Use the evidence as a starting point, then verify the problem before building.

1. Read the threadIdentify who has the problem and the workaround they use today.
2. Contact five usersAsk about frequency, cost and what they already tried.
3. Test one narrow fixOffer a manual or lightweight solution before writing a full product.

1 Developer Experience signals

Setup & configuration · CodingREPEATED ACROSS 6 PROJECTS

Daemon event loop saturates at scale: per-seat tmux polling (transcripts, structural, identity) spawns ~300 processes/s; transcript config leaks into seat env

Observed in mvschwarz/openrig · TypeScript · Apache-2.0

What the reporter described: With the default / , the daemon spawns one per seat every 2s. Each async spawn blocks the main thread in (fork, then a blocking read on the exec-status pipe), and that cost grows with RSS: 0.8 ms at 60 MB, 12–20 ms at 1 GB (repro attached). With 90 seats the loop saturates: healthz times out, the accept queue fills,…

Related friction appears in 6 independent repositories. This is stronger than one backlog item, but still requires direct user validation.

12 comments0 positive reactions6 days openEvidence score 59/100Project Radar 96

NEW SIGNAL

Start guided sprint →Original GitHub Issue ↗Project analysis →

How opportunities are ranked

The evidence score combines capped, diminishing-return discussion, positive reactions, unresolved duration and the underlying project’s Radar Score. This prevents one repeatedly commented thread from overwhelming independent signals. Maintenance-only tickets, dependency dashboards, CI failures and release checklists are filtered out. Rankings are independent and never paid placements.