Launch Intel
I

I built a tool to visualize and understand A/B tests results

Hacker News

I built a tool to visualize and understand A/B tests results

I am a visual learner and I like interacting with things to build an intuitive understanding. I decided to build a tool that lets you input and play with your A/B test data. It should help you understand how the number of users or the conversion rates visually impact the statistical significance. I actually understood many things while playing with it in a new way, I could even find an interesting way to graphically show the p-value and really SEE what it meant. Any feedback is appreciated.

Visit productView on Hacker NewsFeb 29, 2024
Share card

Actual performance

4points
2comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, visual · Missing: mac, agents, macos
70%70% 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 NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
59%59% 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 HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: visualize, users, way · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive, users · Missing: plus, platform, reviews
46%46% 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
16%16% 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

I
I built a tool to visualize MRR45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built a tool to visualize MRR

Hacker News5
We
We built a tool for fast-forwarding 95% of tests (MIT)67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We built a tool for fast-forwarding 95% of tests (MIT)

Hacker News8
A
A New Tool to Understand and Visualize the News50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A New Tool to Understand and Visualize the News

Hacker News90
A
A tool to visualize what you can do with your major44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A tool to visualize what you can do with your major

Hacker News1
To
Tool to Deobfuscate and Visualize US Political Funding Webs31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tool to Deobfuscate and Visualize US Political Funding Webs

Hacker News2
A
A tool to visualize exponential sums56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A tool to visualize exponential sums

Hacker News8
Vision Plumber
Vision Plumber45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Visualize OpenCV results as you go

Indie Hackerscommitment-side-project
Usability Findings
Usability Findings30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Organize & manage results of your usability tests

Indie Hackers
I
I built a tool to get instant test results44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built a tool to get instant test results

Hacker News96
I
I built a tool to visualize your next tattoo45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built a tool to visualize your next tattoo

Hacker News1
Browse all productsAnalyze your launch