A simple dream to fit in every traveler's pocket
Blog post with zero code, demo, or actual product to evaluate.

AI wrapper scanning award inventory when ExpertFlyer and Reddit already exist.
Award travel enthusiasts, points hackers, frequent flyers hunting premium cabin deals
ExpertFlyer · AwardHacker · FlyerTalk
Great redemptions come from a mix of things happening at once — airline inventory drops, transfer bonuses, program changes, and insights shared across blogs and communities. The problem is keeping up with it all.
Most people end up refreshing airline searches, reading multiple blogs, scanning Reddit, and hoping they catch something before it disappears.
So I built AwardClaw.
AwardClaw is an agent that continuously monitors the award travel ecosystem and surfaces actionable insight. Not just raw information.
The platform combines two key signals: 1. Award travel intelligence We track news, offers, program changes, and discussions across the award travel community to surface insights that may create redemption opportunities.
2. Real-time round-trip award flight drops We continuously scan airline award inventory and highlight RT international award seats when they suddenly appear. We focus specifically on round-trip drops because those are typically the most practical and bookable opportunities.
Still early and expanding quickly — adding more airlines, monitoring sources, and improving the signal detection.
Would love feedback from the HN community!
Blog post with zero code, demo, or actual product to evaluate.
SDK-first messaging layer without forcing a framework or harness on your agents.
Encodes travel hacking math into MCP servers for 25+ mileage programs.
Agent firewall with 16+ injection patterns, sandboxed skill scanning, detects real OpenClaw CVE exposure.
MCP servers search award flights and compare cash prices across 25+ mileage programs.
OpenClaw time-travel debugger with fork-and-replay when logs are useless.