Pe

People should show off failures as much as wins

Hacker News

People should show off failures as much as wins

I think it's important to show off your failures as much as your victories. I started my career in 2007 and I've worked extensively on 14 projects in 15 years. Only 4 of those turned into meaningful ventures for me. Projects: - (1) IPO - (1) founding engineer of a 9 figure biz - (2) founder of 7 figure biz - (10) failures I put together a one-pager that I think helps put in perspective just how long successes take. https://siliconvict.com/projects

Visit product View on Hacker NewsJan 28, 2022

Actual performance

6points

6comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

74%74% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Strong signals: started · Missing: supports, reddit linkedin, podcasting

49%49% 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

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

17%17% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% 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

EarnOS28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Everyone wins.

Indie Hackers1advertising

Slot Mahjong Wins 320%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mahjong Wins 3 Black Scatter

FeatherCap16%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Capturing Career Wins

Indie Hackersemployees-under-10

Intents – Get linked with people that see what you see51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Intents – Get linked with people that see what you see

Famous people who have died by overdose58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Famous people who have died by overdose

StreetPass – Find your people on Mastodon55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

StreetPass – Find your people on Mastodon

What if 1k people drew together?58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

What if 1k people drew together?

Find people researching areas similar to you (HuggingFace)51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find people researching areas similar to you (HuggingFace)

Tweetpleth - Where are people tweeting?58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tweetpleth - Where are people tweeting?

My Rasoi42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Made for the people who serve people.

Browse all products Analyze your launch