Refoid

Strong signal

Automate App Store refund responses and track every outcome

Launched 1d ago

Signal

Velocity

What this means

9.7×Growing 9.7× faster than the typical Workflow / Automation launch.

Compared to 3 Workflow / Automation launches at the same age.

+88%Launching in a 88% WoW growing category.

Developer Tools had 353 launches this week vs 188 last.

22Founder Conviction Index: 22 — low signal.

Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.

Prediction

Top-5 finish probability

27%

today

Projected end-of-day votes

68range 51–92

Trajectory

stable

Vote pace holding steady.

Speed vs peers

9.7×

3 Workflow / Automation launches

About

Refoid automates App Store refund responses for iOS and macOS developers. Connect your apps, set your response preference, and track each request, response, and Apple’s final decision in one timeline. Get automatic retries and email alerts for confirmed refund declines, with no backend integration or success fees. Apple makes every final refund decision.

AI Summary

Refoid automates the management of App Store refund requests for iOS and macOS developers, allowing users to track responses and outcomes in a single timeline. The tool offers features like automatic retries and email alerts for declined refunds without requiring backend integration or incurring success fees.

Attention & discussion velocity

Performance

Velocity0

Vote pace vs average

Momentum0

Sustained over 6h

Virality0

Spread × engagement

Engagement24

Discussion per unit of attention

Editorial read

Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.

InvestigateRanks high on little evidence. Worth a look, but verify before committing.

155/8

Timeliness5%96

carried 7%

Trend20%48

carried 27%

Novelty15%45

carried 20%

Business15%12

carried 20%

Story20%0

carried 27%

Not measured · 3 of 8

Revenue10%—

Founder10%—

Cross-platform5%—

Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.

measuredmeasured, zeronot measured

Full audit →

Signal sources

3 of 6 active

Launch tracking7 readings since we picked it up
AI analysisWorkflow / Automation
Comment intelligencethread not yet analysed
Outside discussionnot checked — domain is a storefront or shared
Revenue signalsno match on this domain
Editorial scoring23% evidence coverage

A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.