Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for researchers, analysts, and knowledge workers who want an AI note system that stays local, uses open formats, and works with both local and hosted models.
Who should use it
Who should skip it
Consider deta/surf lower priority if you already have a working solution in this category.
About this signal
deta/surf is tracked by RepoRadar as a hosted app or demo in the AI Productivity section. It was first seen on 2026-06-19 and last updated on 2026-06-19. The current verdict is 'try now' with a Gold tier and moderate setup difficulty. deta/surf leads on workflow potential (9.7) and practical usefulness (9.0); its lowest signal is setup ease (6.4), so factor that in before investing setup time. This page summarizes the public evidence on the linked source page and states where additional review is still needed. The score, tier, risk label, and verdict on this page are never influenced by sponsorship, ads, or tips — they reflect only the usefulness, popularity, novelty, momentum, maturity, and evidence signals described in the RepoRadar methodology.
How this item is evaluated
RepoRadar assigned deta/surf a composite score of 8.6 out of 10, placing it in the Gold tier. This score combines weighted sub-signals: usefulness (35%), novelty (18%), momentum (14%), maturity (10%), open-source/build quality (7%), evidence quality (6%), workflow potential (6%), and setup ease (4%). Popularity is tracked separately at 66.0 and never affects the composite score or tier. The risk label of 'conditional' reflects inherent user-impacting hazards, not generic novelty. Items with no risk flag may still require normal code review before production use.
Putting this into practice? Read How to evaluate an AI tool before you adopt it for the checklist behind this score.
Risk explanation
Surf is built to ingest local files and web content, so verify whether your chosen model backend is local or third-party before loading private material.