I made a tool that finds your customers before your competitors do

Hacker News

Most founders waste months posting to the wrong communities while their competitors quietly build relationships with the same users you need. I built Smarketly after watching three of my products die in silence. The problem wasn't the products - it was that I had no systematic way to find people who actually needed what I built. Smarketly helps you: Discover where your ideal customers already spend time online Craft outreach that feels personal, not spammy Generate marketing videos that aren't capped at 30 seconds Get actionable strategies based on your current stage The breakthrough came when I used it on itself - finally got real users instead of launching into crickets. Now helping other founders escape the "build great things nobody sees" trap. If you're tired of your competition finding your customers first, this might help. smarketly.lema-lema.com

Visit product View on Hacker NewsMay 31, 2025

Share card

Actual performance

2points

2comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

91%91% 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 · Strong signals: user · Missing: mac, agents, macos

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

57%57% 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

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.

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

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.

Correct prediction on native model

Similar products

Kasspian19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Finds where your first customers are asking

Indie Hackers

CustomerPing.ai51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An AI that pings you when it finds customers for you

Indie Hackers1$50/moai

An AI that pings you on your phone when it finds customers for you41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

An AI that pings you on your phone when it finds customers for you

Hacker News4

Earlycustomers47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find Your Customers Before Your Competitors Does

Indie Hackerscommitment-full-time

Sumora61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Finds, warms, and books your next customers.

Indie Hackers1$1,400/moai

Replyhub finds your customers on Reddit and X32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Replyhub finds your customers on Reddit and X

Hacker News2

Ella®42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find the paying customers of your competitors

Indie Hackers

I made a fool that finds potential customers for you49%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 fool that finds potential customers for you

Hacker News5

I've been learning PHP. My first tool finds your competitors' backlinks54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I've been learning PHP. My first tool finds your competitors' backlinks

Hacker News4

Unknown Charges47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Finds unknown charges on your Financials

Indie Hackers1finance

Browse all products Analyze your launch