Item detail
github.com

cccyd2003-qwq/pinkbin

cccyd2003-qwq/pinkbin is a local ai tool that RepoRadar is tracking in its Local AI section, currently rated Silver tier with a 'try now' verdict. Its strongest signal is workflow potential, scored 9.1 out of 10.

Score8.0
Popularity34.0
Riskconditional
TierSilver
Score breakdown
Usefulness8.0
Novelty7.0
Momentum8.0
Maturity6.5
Open-source/build8.4
Evidence8.0
Workflow potential9.1
Setup ease8.8

Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.

Why it matters

Useful for people who want AI help understanding and cleaning bloated local disks without giving a cloud app blanket access to their files.

Who should use it

Power users cleaning up crowded SSDs and developer machinesPeople who want AI explanations for unfamiliar caches, build folders, or app leftoversUsers who prefer local-first desktop utilities over cloud cleanup servicesDevelopers trying to reclaim space without blindly deleting large directories

Who should skip it

Consider cccyd2003-qwq/pinkbin lower priority if you already have a working solution in this category.

About this signal

cccyd2003-qwq/pinkbin is tracked by RepoRadar as a local ai tool in the Local AI section. It was first seen on 2026-06-27 and last updated on 2026-06-27. The current verdict is 'try now' with a Silver tier and easy setup difficulty. The standout signals for cccyd2003-qwq/pinkbin are workflow potential (9.1) and setup ease (8.8), while maturity (6.5) trails — that balance shapes where it fits best. This page summarizes the evidence RepoRadar has captured from captured source metadata. 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 cccyd2003-qwq/pinkbin a composite score of 8.0 out of 10, placing it in the Silver 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 34.0 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

It still performs real filesystem deletions even though the default path goes through the recycle bin, so test it against non-critical folders first; The AI advisor does not need file contents by default, but the folder names and structural metadata you send to a provider can still reveal sensitive project context; The current README is Chinese-first, so non-Chinese users should verify the exact cleanup and restore flow before they rely on it for important machines.

Evidence links
Closest alternatives / related signals
local-aidesktoptaurirustfilesystemproductivitycleanupmit