Deals, Credits & Tool Atlases
CEO executive brief. Research-to-product work that turns free AI/cloud stack hunting into durable assets: scored atlas, credit inventories, playbook, and scraper.
Campaign peak 28.05.26-20.06.26 · Scraper 04.07.26 · Artifact 16.07.26
How to make / save money
- Claim verified credits before paid burn (startup tiers up to $100k-$350k class when eligible)
- Prefer high-Signal tools and OSS over default paid SaaS
- Productize dated deals radar, student stack, later sponsorship/API
- Claim log + eligibility checklist so one-shot accounts are not wasted
Reusable learnings
- Aggregators find candidates; only vendor pages confirm
- Score tools Signal x Alpha, not popularity
- Playbook beats a static page (where deals hide + verify rules)
- Automate discovery (scraper); keep humans on verify
- Freshness + as-of date is the moat vs spam deal blogs
- Student/edu is a segment product, not a footnote
Workstreams
QR or row opens the full CEO brief with artifacts.
Alpha AI Tools Atlas
220 tools scored Signal x Alpha; Top Picks + scatter UI
AI Free Credits & Deals page
91 offers, ~$2M catalogued value, 86/91 no-card
Student AI Stack (edu deals)
70 tools student/edu; 16 live-verified
Signup promos + Free Credits Playbook
40 verified deals + where-to-look playbook
AI Deals Scraper (automation)
425+ deals in ~60s; HN + free-for.dev; monitor mode
Open hardware alpha map (method reuse)
Same multi-axis index method on neurotech/BCI hardware