Invoicebloom.io – Professional Invoicing and CRM

Hacker News

Hey Ya'll! My name is Steven and Im launching invoicebloom.io for Professional Invoicing & CRM for Small Businesses & Freelancers. Im a software developer and I sometimes work as a freelancer. Since some of freelance jobs were sidegigs I always just required payment in zelle or cash app. However, some of my clients kept requesting me for invoices for record keeping purposes. I also starting noticing that I kept going back to my email to check for client's information regarding past jobs I have done. So I decided to go on the hunt for some software that was cheap and work nicely and I did the quickbooks $4 plan. Oh Boy!!! This wasn't at all that fun! you start noticing that any change you make or other feature you want to make is an upsell to a different plan. I was really unhappy! So I decided to make one for my self! little by little I started adding more functionality for this app. Until I noticed myself using it more frequently. I wasn't sure if this was useful for others so I shared it in my slack spaces. Then I started receiving requests for features such as "Steve can you add client profiles so I can email and call from the profile card" and so today Im sharing with you all an app that has been used for a couple of months by freelancers and small business owners. It has 5 free invoices per month. and it only costs $9.99. Its free to sign up and use. Would love to hear what you think about it. Some of the features are: Create Professional Invoices: Design polished invoices in minutes with customizable templates. Send PDF Emails: Automatically generate and email PDF invoices to clients. Manage Clients with Built-in CRM: Keep tabs on client details, payment statuses (Draft, Sent, Paid), and communications in one dashboard. Save Time: Automate repetitive tasks to focus on growing your business. Would love to hear what you think about it!

Visit product View on Hacker NewsJul 22, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: slack, email, tasks · Missing: mac, agents, macos

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45%45% 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: month, way · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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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

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