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With Algolia HN Search being archived, CTOs and tech leads have lost their systematic workflow for tracking technology trends via Hacker News. Manually monitoring the HN front page daily takes 30–60 minutes, and researching context for technology adoption decisions (community sentiment, comparable tech, maturity level) adds another 1–2 hours per item.
Combines the HN API + GitHub API to automatically collect and classify tech trends, analyzing each technology's maturity (GitHub star trajectory, issue resolution rate, release cadence) and community sentiment to deliver a weekly briefing Report. Includes auto-generated technology adoption checklists (license, security, performance, learning curve).
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |