I was spending Sunday nights skimming Cursor / Claude Code / Copilot /
Ollama releases and still missing pricing + API breaks.
So I built SignalDigest: agents fetch public changelogs → JSON-validate
every claim against a source URL → email a short Monday brief.
Weighted toward tools teams actually use in 2026 (Claude Code, Cursor,
Copilot, Codex, Windsurf, Cline) — not LangChain patch noise.
Sample issue: https://signaldigest.pages.dev/archive/
$9/mo. First month free with code FIRSTMONTH.
Happy to share the source list / failure modes if useful.
Thank you, that's a good insight. For myself it would be a little of both.
My current bet: confidence they won’t miss the 3–5 actionable breaks matters more than raw reading-time savings. Time saved is nice; trust is what makes someone pay $9.
I’m validating that by watching whether people open the Monday email and whether they reply with “glad I caught X” vs “nice summary.” If it’s only the latter, I’d rather kill the product than polish it.
What's interesting isn't summarizing AI changelogs—it's deciding which changes are actually important enough for teams to act on. I'd keep validating whether customers adopt SignalDigest because it saves them reading time, or because it gives them confidence they won't miss the handful of updates that genuinely affect their workflows.
Keeping it private for now while I learn what people actually want in the Monday brief.
If a piece is useful later (source list, claim-validation prompts, ranking weights), I’d rather open that than dump the whole pipeline early. Happy to share the source list / failure modes in a comment if useful.
Thanks for reading — happy to share the source list or failure modes if useful. Biggest surprise so far: ranking by usage weight mattered more than covering more tools.
This is the kind of "build for yourself" project that often turns into something bigger. The best tools start as personal itches. Are you planning to open-source it or keep it as a private tool?