A simple invoice tool I built instead of full accounting software

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Hi HN, I built a small invoice tool for an internal requirement at my company. We work with several suppliers and providers and wanted to give them a simple way to create invoices directly inside our workflow. The goal was to increase operational visibility: track what’s been created, sent, viewed, and paid, without the need for an accounting system like Xero or QuickBooks if they do not have it. I extracted it into a standalone tool and built and deployed it in about half a day, fully vibe coded. Tech stack: - Next.js, Prisma, PostgreSQL - Stripe for payments - Hetzner VPS managed via Coolify - App and database on the same machine for now Current infra cost is < €4/month. What it does: - Lets suppliers create structured invoices - Sends them directly - Tracks status (Draft / Sent / Viewed / Paid) and basic revenue insights This started as a way to fix a specific internal workflow, and I’m now trying to understand whether this resonates beyond our use case (e.g. small businesses/freelancers).

Visit product View on Hacker NewsJan 26, 2026

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3points

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

81%81% 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: mac, stripe, code · Missing: agents, macos, agent

67%67% 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, io · Missing: https docs, excited, just released

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: month, way · Missing: mobile apps, ios, personal

56%56% 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

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

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

17%17% 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.

Incorrect prediction on native model

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