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The missing link of a bookstore's tech stack

Hacker News

The missing link of a bookstore's tech stack

Hi HN! I built Bookhead because I used to work as a bookseller and I wasn't happy with the software options when I decided to sell my own collection online (with the hopes of one day growing so I can open my own brick & mortar). So I decided to make my own bookselling app...a classic hacker distraction. Bookhead has two main parts: 1. an inventory management app that allows a bookseller to list their books anywhere they want to sell books (like Squarespace, Biblio, eBay, Shopify (coming soon!), etc) 2. an e-commerce platform with a CMS for selling books and letting a store control their online brand I have a very exciting roadmap that I'm not ready to fully reveal, but it's all based on books. I'm building a sorta Zapier-like platform for independent booksellers. Everything is so fragmented and disconnected, which makes it hard for booksellers to do their work. I'm hoping to change that. I have a blog post that lays out my vision here: https://bookhead.net/blog/fragmented/ The current iteration is like "data engineering as a service for books." A book is a powerful thing. I'm hoping to give a bookstore everything they need to sell books online. Inventory, e-commerce, marketing, etc. It's a crowded market but I've had fun making the bookselling app that I believe should exist. If you know any booksellers, please let them know about this! I'm onboarding my first customer right now and the biggest bottleneck is the other bookselling software providers, despite my intention to collaborate instead of compete. It's frustrating to wait for two weeks for a point of sale provider to setup an integration. It's almost like they don't care about their customers. Some providers even require ethernet cables for their software...still partying like it's 1999. Perfect for early-adopter booksellers frustrated with current tech who understand the power of automation. I'm currently looking for funding so I can focus on this full-time. My biggest problem right now is time (aka money) because I have to sell my time to make rent etc, and can't focus on this project like I need to. I've gotten good validation from booksellers and other technically savvy folks in the industry (I've heard from two different companies that they've considered building something like this), so I believe I have something valuable. I'm not interested in funding from somebody who doesn't share my love for books or doesn't support my mission: help people use technology to promote literature. I believe that literature is one of humanity’s most prized creations, and we can use technology as a tool to keep this gift alive. Please email me at sam@bookhead.net if you know of booksellers who might want to be an early adopter, or know of any funding opportunities that might be a good fit.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
98%98% 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: email, open · Missing: mac, agents, macos
51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, lua, ide · Missing: https docs, excited, just released
50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, soon · Missing: plus, intuitive, reviews
33%33% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: shopify · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: collaborate · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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