Productapes
Indie HackersShare updates, build an audience.
I wanted an easy way to share updates on the projects/products that I am working on. Instead of building it as a one-off solution for my site, I am building Productapes as an easy way to capture and share those updates.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos55%55% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue14%14% 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, crypto0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Wh
Which news outlets share an audience24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Which news outlets share an audience
Hacker News2Lo
Lobste.rs for an African audience23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lobste.rs for an African audience
Hacker News3Pu
Pulls MySQL binlog and pushes updates into Kafka41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pulls MySQL binlog and pushes updates into Kafka
Hacker News2Bu
Build Your Own Newsfeeds and Share Them52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Build Your Own Newsfeeds and Share Them
Hacker News5Gr
GravityKit – Build and share your own planetary system52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
GravityKit – Build and share your own planetary system
Hacker News6Sh
Share your company's progress updates38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Share your company's progress updates
Hacker News1SupaBird58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Grow your X audience, build your brand
Indie Hackerscommitment-full-time
LaunchLogs34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your product work already tells a story. LaunchLogs transforms your GitHub commits into daily, share-ready updates that build your audience – without you writing a word.
TrustMRRDeveloper ToolsSeeker47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Let your audience search your podcast and share
Indie Hackerscommitment-side-projectSt
Store Front and Audience23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Store Front and Audience
Hacker News1