Project ideas from Hacker News discussions.

Training our own AI models

Original Article

Hacker News Discussion

📝 Discussion Summary (Click to expand)

3 dominant themes

Theme	Summary & supporting quote
Misleading “opt‑in by default” language	Many critics point out that labeling the change “opt‑in” when users are automatically included is deceptive. “Opt‑in by default is an oxymoron. If it’s default then I haven’t opted into anything. It’s been enabled by default._” — jimdabell
Privacy & consent concerns around AI‑training data	Users warn that default inclusion without clear, informed consent undermines trust, especially when the data could be used for profit‑driven model training. “I don’t want my analytics system writing my code._” — hilariously
Erosion of user trust → intent to leave PostHog	Several participants say they are abandoning PostHog or advising others to do the same, citing the opt‑out‑by‑default stance as a breaking point. “I’m pulling it out of the projects I’m personally in charge of and recommending against using it._” — ryanmcbride

The summary is intentionally concise; each theme is illustrated with a direct user quotation (double‑quoted) and proper author attribution.

🚀 Project Ideas

Generating project ideas…

ConsentFirst Analytics

Summary

Provides a self‑hosted, privacy‑first analytics suite that forces explicit opt‑in consent per event, eliminating the default‑opt‑in controversy that sparked HN backlash.
Core value: Users retain full control over data sharing, reducing legal risk and preserving trust.

Details

Key	Value
Target Audience	Small‑to‑mid SaaS companies, privacy‑concerned startups
Core Feature	Consent‑driven event collection with per‑user toggle, built‑in GDPR/CCPA compliance reports
Tech Stack	Backend: Python/Django; Frontend: React; Database: PostgreSQL; Deploy: Docker/Kubernetes
Difficulty	Medium
Monetization	Revenue-ready: $19/mo per team (Starter) / $49/mo per team (Pro)

Notes- HN users repeatedly called default‑opt‑in “slimy” and “opt‑out” – this product flips the script with true opt‑in.

Addresses the practical need for compliant analytics without rebuilding infrastructure.

PrivacyGuard SaaS Shield

Summary

A middleware API that sits between your apps and analytics vendors, enforcing opt‑in consent and automatic anonymization before data leaves the server.
Core value: Seamless integration that protects user data while allowing continued use of existing analytics tools.

Details

Key	Value
Target Audience	Engineering teams using PostHog, Mixpanel, Amplitude, or custom telemetry
Core Feature	Real‑time consent gating, data hashing, and audit logs for regulatory reporting
Tech Stack	Node.js/Express; Redis for event queue; Serverless (Vercel); OpenAPI spec
Difficulty	Low
Monetization	Hobby

Notes

Echoes rvz’s frustration about “opting out” being forced, offering a technical fix.
Could spark discussion on data‑privacy standards and become a reference implementation.

Ethical AI Data Co‑op

Summary

A community‑driven data pool where users voluntarily contribute anonymized telemetry for AI model training, with profit‑sharing payouts to contributors.
Core value: Turns data extraction into a fair exchange, eliminating the “take‑it‑or‑leave‑it” model.

Details

Key	Value
Target Audience	AI startups, research labs, and ethical tech firms seeking training data
Core Feature	Consent‑verified data ingestion, revenue‑share smart contracts, model provenance tracking
Tech Stack	Smart‑contract platform (Ethereum L2); Data lake on IPFS; Python ML pipelines; Governance via DAO
Difficulty	High
Monetization	Revenue-ready: 5% of model revenue distributed to data donors

Notes- Directly responds to the “opt‑in by default” criticism, giving users real agency.

Opens debate on sustainable data economies and could attract strong community support.