Multi-source signal collection
An ingestion layer unifies the three places opportunities show up first, so you stop tab-hopping and start comparing apples to apples.
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AI Trend Hunter analyzes public signal — GitHub, Hacker News, and RSS — groups it into scored trends, and delivers actionable opportunity briefs. Weak signals in, validated product ideas out.
Sorted by opportunity score · 1,284 signals processed
Signal pulled from the places ideas show up first
Reading repos, threads, and feeds across a dozen tabs every week isn't research — it's a part-time job that rarely turns into a decision.
The earliest evidence lives in GitHub repos, Hacker News threads, and RSS feeds, months before it shows up in a trend report or newsletter.
For every real shift there are ten hype cycles. Without scoring, it's impossible to tell a lasting opportunity from a noisy weekend.
A single pipeline turns the flood of public developer activity into a short, ranked list of opportunities, each backed by the evidence it came from.
We continuously collect stars, commits, threads, points, and feed entries from GitHub, Hacker News, and RSS.
Signals are clustered into trends and scored for momentum, opportunity, and saturation, so ranking stays objective.
Each standout trend becomes a short SaaS opportunity brief: who, why now, and where the gap is.
An ingestion layer unifies the three places opportunities show up first, so you stop tab-hopping and start comparing apples to apples.
Every trend carries four numbers — trend score, opportunity, saturation, and momentum — so prioritizing is a glance, not a debate.
No black box. Every score links to the exact repos, threads, and feed entries it came from, so you can verify before you bet.
Top trends get written up as short, actionable briefs: the audience, the timing, and the specific gap a product could fill.
Trends, sources, scores, and history live in one view to review signals, compare opportunities, and decide what to dig into next.
Centralized view
Traceable scores and sources
Ready for auth and teams
Start from a ranked list of validated gaps instead of a blank page, and save yourself months of manual tracking.
Add a category to your watchlist and get alerted the moment momentum or saturation crosses your threshold.
See which primitives builders are actually adopting, by stars, threads, and release cadence — not by gut feel.
Export a clean, source-backed brief for your team or investors in minutes, without copy-pasting from a dozen tabs.
Real examples of trends with score, category, source signals, and a short brief. This is the format every trend arrives in.
Teams want cost control and data residency without rewriting their stack. Tooling is fragmented with no clear default: an obvious wedge for a managed or self-hosted product.
Flaky-test fatigue meets mature agent tooling. Builders are assembling self-healing test suites, but there's no trusted default: strong demand, moderate saturation.
New AI regulation is forcing teams to document model usage. Demand shows up in feeds and threads before products exist: early, low saturation, high intent.
We're onboarding a small group of founders and product operators to help shape what gets scored, summarized, and built next.
Thanks. We'll reach out when we open the next batch of beta spots. Keep an eye on your inbox.