romanleeb

6 ms·

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by romanleeb 4mo ago
smart
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by romanleeb 4mo ago
Hey HN, I built Billpal because every tool I tried wanted to turn me into an accountant. I'm self-employed, I don't need much – no P&L, no balance sheet. Happy to pay a CPA for this and to file my taxes. But I also didn't
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Show HN: I made a tool to find invoices in my email and match them to payments(billpal.io)
1 points by romanleeb 4mo ago|1 comments
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Accounting tools are built for accountants, not the rest of us(billpal.io)
2 points by romanleeb 4mo ago|0 comments
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by romanleeb 9mo ago
amazing
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by romanleeb 9mo ago
Thank you! Well, I built it in a way that the format is kinda universal – expenses are categorized but not with tax codes. Instead I am using labels like e.g. 'Cloud Infra & Hosting'. Plus apart from the basic infos I even ext
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I built a tool to do my bookkeeping for me (freelancer)(billpal.io)
2 points by romanleeb 9mo ago|3 comments
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by romanleeb 9mo ago
Hey HN, I'm Roman and I've been working on Billpal, a tool I built to do my bookkeeping for me. Started as a personal thing, but I ended up building a product around it so others can use it too. I'm a freelancer myself and al
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by romanleeb 2y ago
Thanks - we'll do!
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by romanleeb 2y ago
I agree with you mostly but not 100%. It's definitely true that the way how you build it makes a product stand out - however the goal of this tool is more to understand WHAT to build as it gives you a glimpse into the opinions customer
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by romanleeb 2y ago
Very good input, thanks! We'll add some examples on the page.
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by romanleeb 2y ago
Currently we have a quite basic RAG setup, no fine-tuning. We wanted to get this out fast so decided to use Assistants API but definitely needs some polishing in this RAG pipeline (e.g. having more control over the exact search queries). Fo
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by romanleeb 2y ago
Precisely, problems/complaints/negative comments unveil a lot of interesting opportunities. For this very reason we instructed the model to pay a bit more attention to expressions with a negative sentiment.
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by romanleeb 2y ago
That was exactly the reason we built this - to facilitate the gathering of this intel. Will it be a panacea for doing research - of course not. But it can speed things up a bit and throws another (probably faster) research methodology into
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by romanleeb 2y ago
I agree, there is a lot of opportunities you can find when looking at a subset of frustrated customers. Ironically they tell you in greater detail what they dislike vs the super happy customers on why they like something.
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by romanleeb 2y ago
Hm can you elaborate on this - I do not fully understand. Was there no response for "Summarize the reviews you have on products in the OCR category"? The demo is not "cached" or anything this is production. Would be cool
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by romanleeb 2y ago
So the difference is we inject software review text chunks into the conversation as hidden context for the LLM to answer the query. Based on your input we do a cosine similarity search in the vector DB and retrieve the most relevant results
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by romanleeb 2y ago
Currently we do not have a function caller that checks the topic of the prompt and then direct the query accordingly - this is a very good input thank you! We did some work to add relevant details to the review chunks like e.g. the category
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by romanleeb 2y ago
This is a very good idea, thanks a lot for this! Yes we do intend to monetize this at some point, currently offering access as a free beta to first validate whether this is useful as well as learn more about the specific prompts that the mo
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by romanleeb 2y ago
Hi this is Roman, the co-founder Andrei mentioned in the post. I agree with you, a good chunk of these reviews come about through incentivizing people and not all of them are organic in nature. However, many are genuine and even the ones th