Relpin

Relpin

TrustMRR

Relpin is a B2B software platform for internal company applications. Business teams build workflows and tools in cloud-hosted, containerized workspaces instead of local developer setups. IT keeps cont

Relpin is a B2B software platform for internal company applications. Business teams build workflows and tools in cloud-hosted, containerized workspaces instead of local developer setups. IT keeps control over permissions, environments, releases and audit history. Each customer organization gets its own data layer and a controlled path from cloud workspace to preview, release and operation. The MVP core is implemented and test-hardened; open beta is in preparation.

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating6

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos
79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
48%48% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host · Missing: plus, intuitive, reviews
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting
34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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