AngelHack Project - ConfessionCall.com

Hacker News

Everyone has deep dark secrets. Now you can share them, anonymously over the phone or via voice plugin, and have the world absolve or condemn you. This was built by a distributed team of three in 30 hours this weekend at AngelHack in SF, with all the coding done by HN user ivanstojic, with design work by Ed Lea in England, and some random contributions by my non-technical self in San Francisco. Would love to hear what you all think, and even better what terrible secret you need to get off your chest.

Visit product View on Hacker NewsMar 5, 2012

Share card

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

70%70% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, coding · Missing: mac, agents, macos

67%67% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

64%64% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

35%35% 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, 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Cheatsheetsdb.com (Quarantine Project)49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cheatsheetsdb.com (Quarantine Project)

Hacker News2

Lackid.com – A new perspective for your project55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Lackid.com – A new perspective for your project

Hacker News4

my new project - forbidme.com59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

my new project - forbidme.com

Hacker News1

Just launched a Do.com project importer48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Just launched a Do.com project importer

Hacker News6

KeepAndPlay.com Here is my 5 days side project56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

KeepAndPlay.com Here is my 5 days side project

Hacker News2

RemoteHacker.com – Find a project partner38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RemoteHacker.com – Find a project partner

Hacker News112

My side-project, UllrLabs.com, made Outside Magazine's Best Winter Apps51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My side-project, UllrLabs.com, made Outside Magazine's Best Winter Apps

Hacker News2

DrudgeNewsletter.com – my weekly project47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

DrudgeNewsletter.com – my weekly project

Hacker News3

My afternoon project, Clustergram55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My afternoon project, Clustergram

Hacker News1

Project Maya72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Project Maya

Hacker News88

Browse all products Analyze your launch