Shipfound vs hyperopt.dev

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Shipfound compared with hyperopt.dev
Detail	Shipfound	hyperopt.dev
What it does	Your coding agent ships features. Shipfound makes it ship customers.	AutoML that just works. Keep training local.
Stage	Startup	MVP
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Freemium	Free trial
Pricing	Free plan with 20 credits monthly and access to one site with 10k events per month. Starter at $29/month with 50 credits. Builder at $59/month with 100 credits. Growth at $99/month with 500 credits. Credit packs available at $19 per 100 credits. Overage: $10 per 500k events.	Free beta with no billing. Paid plans launching in the future; pricing not yet announced. Join the waitlist for paid plans without payment or purchase commitment.
Key features	Daily growth recommendations and automatic PR creation AI visibility checks across 6 engines with 4 runs each Automatic content creation for comparison and answer pages Directory listing automation Reddit and X reply drafting A/B testing with unlimited experiments on Growth plan Attribution tracking from signup to source change App Store listing audit and optimization for iOS apps All changes are pull requests; agent never merges automatically	Python SDK for tuning suggestions Local model training with remote suggestions Supports classification and regression Included CPU demo workloads Efficient observation budget allocation Model ranking and selection Reference scheduler implementations HTTPS secure communication
What makes it different	Integrates with your existing Claude Code or Codex subscription; no separate AI costs for the agent's work Every signup traced back to the specific change that caused it Covers full growth funnel from search visibility to conversion to launch platforms Works across multiple tech stacks and for both web and iOS apps	Trains locally, not on the service—your models and data stay on your computer Efficient tuning using only half the observation budget of full training Outperforms reference schedulers in benchmarks on diverse datasets Free beta with no billing or account costs
Community votes	0	0
DR (Domain Rating by Ahrefs)	5 no change since last check	Not checked yet no change since last check
Trust Flow (Majestic)	10	3
Citation Flow (Majestic)	28	13
Referring domains (Majestic)	21	2

6 details filled in for both companies.

More alternatives to Shipfound More alternatives to hyperopt.dev