Pa

Page2Profit – Find where your landing page is losing revenue

Hacker News

Page2Profit – Find where your landing page is losing revenue

Hi HN, I’m a solo founder who recently left my job to build small, focused tools. Page2Profit is a lightweight conversion audit tool that analyzes landing pages and highlights where revenue may be leaking — with estimated impact and prioritized fixes. I built this after repeatedly seeing the same issues across different products: – unclear value propositions – missing trust signals – weak CTAs – unnecessary form friction Most tools tell you what’s wrong , but not what it’s costing you . So this audit focuses on: • evidence-based CRO heuristics • estimated monthly revenue impact • severity ranking by ROI • a clean report view + downloadable PDF There’s a free preview report (no signup), and a one-time paid version for the full audit. I’m mainly looking for feedback on: – whether the revenue estimates feel reasonable – if the report format is useful – what would make it more actionable Happy to answer any technical or product questions. Thanks for reading.

Share card

Actual performance

1points
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
60%60% 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.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, monthly · Missing: mobile apps, ios, personal
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
29%29% predicted probability of success on AppSumo, 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
27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue, profit · Missing: arr, mrr, saas
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Sn
Sneaker. Landing Page37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sneaker. Landing Page

Hacker News3
Re
Relaunched landing page with Bootstrap41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Relaunched landing page with Bootstrap

Hacker News2
Re
RedNote Landing Page33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

RedNote Landing Page

Hacker News1
Co
Contactually landing page resembles 37Signal's HighriseHQ landing page43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Contactually landing page resembles 37Signal's HighriseHQ landing page

Hacker News3
La
Landing page for socializing weddings37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Landing page for socializing weddings

Hacker News11
Landing page
Landing page32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Full functional

Indie Hackers
La
Landing Page – a landing page for your App34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Landing Page – a landing page for your App

Hacker News3
LandingFix
LandingFix71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Landing Page Fixing Tool

Indie Hackerscommitment-side-project
Te
Text Only Landing Page40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Text Only Landing Page

Hacker News1
Daftpage
Daftpage29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Landing page in minutes

Indie Hackerscommitment-side-project