Hinge Auto-Date Bot, ROAS.to Launch, Agentic Loops — AI Daily Jun 07
397 messages · 67 active members
Overview
Topics
@Vaibhavcste built a Hinge bot that filters profiles by personal taste, auto-likes, drafts/sends messages, and logs phone numbers and dates to a Google Sheet. Autopilot learns from prior conversations; he maintains an 80% like cap and ~30% match rate. Community suggested wiring it into Google Flights and Airbnb for full geo-arbitrage dating ops.
@GuruTime is launching roas.to after 8 months internal use and a from-scratch SaaS rebuild. Full Meta tech provider approval, custom domains per user, sub-minute spend updates at $500/day, VWO-style DOM manipulation, voluum-style splitters, auto-cloning on ROAS breakback, and a nearly full-stack MCP. Offering 2-3 month free trials to 3-5 serious users.
Kieran's loan ads keep getting flagged on one account despite running fine elsewhere. @offharoun recommends declaring as Special Ad Category to avoid profile-level bans with minimal performance hit. @LionOnX shared a cpa.rip placements-moderation bypass tactic, and @swh800 noted creative-level targeting now matters more than ad-set targeting anyway.
Builders discussed loops that pull GitHub issues, triage, propose solutions, design tests, and write code autonomously. Core challenge: agents pick band-aid fixes (like adjusting error messages) over root-cause solutions. Fix: vision.md docs describing the target user steer optimization toward real customer experience. Isolated Hermes setups on separate VMs with scoped tokens and Tailscale bridges recommended.
Members called out Claude's recurring design fingerprints — gold/beige colors, serif fonts, dot patterns, and eyebrow lines above headlines. Recommended workflow: first-pass with Claude + Stitch + 21st.dev references, then rebuild against a hand-picked real lander once the AI-look becomes obvious.
Key Takeaways
- Hinge automation works: 30% match rate at 80% like cap, with autopilot drafting replies — keep like/pass ratio sane to protect ELO
- ROAS.to is offering 2-3 months free to 3-5 testers with full Meta API approval, sub-minute spend tracking, and an MCP layer for AI-driven ad ops
- For Meta financial/political ads, declare as Special Ad Category to avoid profile bans; performance hit is often negligible
- Agentic loops fail when they optimize for graceful failure instead of root-cause fixes — feed agents a vision.md anchoring decisions to a real user
- Separate RAG (documents in Elasticsearch) from agent memory (facts in Postgres); TurboVec's 87% vector compression could unlock laptop-scale RAG
Hot Threads
Hinge auto-date bot with taste analyzer and autopilot messaging
ROAS.to launch — Meta-approved ads platform with MCP, looking for beta testers
Meta keeps rejecting loan ads on one account — Special Ad Category workaround debate