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Subledger.app – A Modern Accounting Ledger

Hacker News

Subledger.app – A Modern Accounting Ledger

Hey HN! We are working on Subledger, -a modern accounting ledger with a focus on productivity. Subledger has native integrations to the tools companies use (like Stripe, Gusto, Google Sheets), a UI designed for quick, efficient work and a lot of automations. Building accounting software is actually a pretty crazy thing to tackle with a small team and few resources as there are lots of things that need to be built, the market is crowded and the competition very well funded. Yet that is exactly what we are doing. We are a small team of 5 people and we are focussing on building an exceptional tool for finance teams at startups. Different to other modern accounting ledgers who usually sell themselves as "full AI accounting" we believe that human's should be in the driver seat. Automations should empower human finance teams to get more done and to focus on higher level tasks but ultimately the software is built for people. Some of Subledger's features include: - Fully automated transaction classification - Magic inbox to send invoices and receipts which get automatically matched and filed - Access to over 14,500 banks in the US and Europe via Plaid & Gocardless - Deep integration with Google Sheets which allows to e.g. - Sync your trial balance to a sheet. Awesome for reporting, financial modelling or advanced workflows - Load accruals from Google Sheets safely and easily. Allows complicated schedules and makes adjusting them super easy - Integrated accounting copilot with access to your ledger. It can give you meaningful insights into your financials and make entries. You can ask the copilot anything but it is especially useful for complicated accounting processes like for example some depreciation schedules or accrual accounting entries. Subledger is focusing on small and growing companies at the moment. Eventually our sweet spot will be companies at or after approximately the series A stage where efficient work becomes more important and processes start to get established. If you try out Subledger, shoot me an email (e.g. by responding to the registrationg email), mention that you are from hacker news and I will give you an additional 200 monthly journals you can use in the Free Forever tier. This should allow a small company to do accounting in Subledger completely for free. We got lots of additional features planned and development is very fast, -the benefits of being a small team. The easiest way to test is to click on "View Demo" on subledger.app. We would really love to hear your feedback! - Johannes

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4points
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
92%92% 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: model, google, stripe · Missing: mac, agents, macos
87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: hacker news, io · Missing: https docs, excited, just released
70%70% 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, google, monthly · Missing: mobile apps, ios, personal
53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: efficient · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% 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.

Incorrect prediction on native model

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