Made a website for shooters to track target practice

Hacker News

Website: https://targetarchive.com Screen Shot: https://imgur.com/a/qlzuJ I built this website initially for myself since I just wanted an easy way to track my progress as a new shooter. I'm curious if others will find it useful and I would love some feedback. It's pretty simplistic right now but if you sign up and try it out I'll be happy to hear feedback and implement new ideas.

Visit product View on Hacker NewsJan 25, 2018

Share card

Actual performance

7points

3comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

47%47% 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 HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos

44%44% predicted probability of success on Product Hunt, 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

Practice Peg System – Mnemonics51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Practice Peg System – Mnemonics

Hacker News2

Tweak your chord progressions for practice or composition60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tweak your chord progressions for practice or composition

Hacker News78

Vidyanilaya – Practice for IIT JEE51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vidyanilaya – Practice for IIT JEE

Hacker News2

Practice integer addition42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Practice integer addition

Hacker News1

PMFJourney52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PMF is not a milestone. It is a practice.

Indie Hackerscommitment-side-project

A website to practice for job interviews39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A website to practice for job interviews

Hacker News2

SpeakLoop44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Shadowing reading practice, oral practice

TrustMRREducation

I made a website to help you track the conronavirus outbreak40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made a website to help you track the conronavirus outbreak

Hacker News10

Whurthay, Track where your website traffic is from40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Whurthay, Track where your website traffic is from

Hacker News1

I built an interactive website to practice English at your own pace60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built an interactive website to practice English at your own pace

Hacker News3

Browse all products Analyze your launch