I spent 3 years building the CRM I wanted to use

Hacker News

My wife and I tried HubSpot about three years ago while running our business. We quickly realised we were spending more time trying to fit our workflow into the CRM than actually getting work done. The idea behind it is simple: the CRM should adapt to the business, not the other way around. most crms try to force people to work it a very specific way which kills productivity and the teams need to spend hours trying to learn the crm before getting any actual work done. Every pipeline, object, workflow, form and process can be changed instead of being locked into one opinionated workflow. The goal was to make the CRM adapt to the business rather than forcing businesses to adapt to the CRM. If you want to dig deeper, look at Databins, Meta tags, Data sources in NinjaPipe ( cos I'd love to hear your thoughts on these and any other improvements I can make?) I'm 100% bootstrapped and still work full-time as a software engineer, putting around 10% of my salary back into the business each month. I shipped the first version in November 2023, found a handful of early users willing to give honest feedback, and have been iterating ever since. Since then we've grown to more than 1,500 businesses, with much of that early traction coming from 3 AppSumo lifetime deal launches. Built a very active discord community around this so people can post bugs, requests, (roasts), and ideas so it can be community driven too. Keen to hear your thoughts and anything I can do to improve this even more.

Visit product View on Hacker NewsJul 29, 2026

Share card

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

88%88% 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: apps, user · Missing: mac, agents, macos

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, pipe, io · Missing: https docs, excited, just released

52%52% 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: apps, month, users · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: bootstrapped, active · Missing: arr, mrr, revenue

26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

25%25% predicted probability of success on AppSumo, 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

Five Years of Show HN70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Five Years of Show HN

Hacker News16

TriggerRally is back – after 5 years69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TriggerRally is back – after 5 years

Hacker News1

Edhra Chronicles58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Shifting Coast. Three hundred years after the gods disso

Indie Hackers1books

FlingUp, a Reddit-like platform Ive been building for the last 2 years79%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

FlingUp, a Reddit-like platform Ive been building for the last 2 years

Hacker News260

I spent 2 years building an iOS app no one asked for51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I spent 2 years building an iOS app no one asked for

Hacker News7

Projekt1949%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Startup studio - Building 19 products in two years

Indie Hackers1content

I spent 2 years building Tablane as a 17-year-old81%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I spent 2 years building Tablane as a 17-year-old

Hacker News352

I spent two years building my first game. No background in programming74%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I spent two years building my first game. No background in programming

Hacker News2

Years. Plan your years easily62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Years. Plan your years easily

Hacker News3

4 Years Later, mmm.page 1.079%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

4 Years Later, mmm.page 1.0

Hacker News7

Browse all products Analyze your launch