Links
Badges

Forums
Transitioning from tech enthusiast to product strategy — Hi Product Hunt!
Hey everyone!
I've been following Product Hunt for a while now, constantly inspired by how fast makers build and iterate on their ideas.
My daily work revolves around business development and helping team projects transition from initial concept to scalable builds. I'm joining the community to get closer to the maker ecosystem, learn how founders navigate early-stage growth hurdles, and share insights on digital product workflows.
Beyond tech, I love analyzing what makes user onboarding smooth and how product presentation impacts early adoption.
New On Demand Spider for Findborg
My name is Fitz. I run findborg.com, a small find engine built around community trust scores instead of ad auctions. Last night I aimed our spider at a 20 year old craps strategy site that Google shows nowhere, not even for the exact words in its domain name. Ten minutes later he was our top result with 96 pages indexed.
Makers get the same treatment from Google. You ship something real and you're invisible under a wall of listicles.
So drop your project URL in the comments. I'll spider it and reply with a link to your site ranking in real search results. No signup, no catch. My index needs to grow and your project needs to be findable. Everyone wins.
space ocr updates!
I launched space ocr here on August 4. This thread is where I will put what I am changing and why.
A commenter with nineteen years in banking software suggested control totals, checking that the numbers add up. I liked it immediately and put it at the top of my list, and then I kept turning it over for a few days and it started to bother me in a way I could not name at first.
What I eventually landed on is that it was pulling space ocr toward being a receipt and invoice product. Receipts and invoices are the example I have been leading with, but they are one use case sitting on top of the thing, not the thing. What the thing does is read characters from an image and verify them by comparison. Two independent passes read the same image, one from a language model and one from a vision engine, and a character level matcher compares them. Where they disagree, the field is flagged rather than resolved by quietly picking a winner. That is the whole of it.
