Road to 1,000,000 #Votap users Day 44 | Current: 1147

I don t want Votap to become Instagram.

I built FeedDoc after getting frustrated with uploading entire documents

to AI chats when I only needed a few pages.

It's a Chrome extension with a side panel where you upload a PDF,

PowerPoint, or Word file, pick a page range, and it generates a new

Hi everyone, I m one of the makers of Reimagine-app.com.

Reimagine helps you build a website around a product first hero. You start by generating a custom hero as a static image or a looping video, choose your favorite, and then we generate the full site with clean, exportable code. No lock in.

Built for

I used to work in technical operations, but now I build the tools to make it easier!
Building software is hard. Managing the business around it shouldn t require ten tabs and a memory palace.
BOSS.Tech reduces context switching by putting product, revenue, and customer signals in one place. Instead of jumping between dashboards, spreadsheets, and Slack threads, teams get a single view of what s happening and what to do next.
What BOSS.Tech does

• Normalizes and synchronizes data across SaaS integrations

• Cuts time lost to context switching across tools and reports

• Replaces scattered dashboards with one shared operational view

• Helps teams make decisions faster with fewer meetings and follow-ups

We built BOSS.Tech because we ran a startup running 200+ SaaS apps. Too much time gets burned just figuring out where the truth lives. The cost isn t just inefficiency, it s slower decisions and missed opportunities.
BOSS.Tech is for founders and operators who want to spend less time hunting for answers and more time acting on them.
We re early, building in public, and actively incorporating feedback.
Thanks for checking it out

We open-sourced optimize_anything, an API that optimizes any text artifact. You provide a starting artifact (or just describe what you want) and an evaluator it handles the search.

import gepa.optimize_anything as oa result = oa.optimize_anything( seed_candidate="<your artifact>", evaluator=evaluate, # returns score + diagnostics
)

It extends GEPA (our state of the art prompt optimizer) to code, agent architectures, scheduling policies, and more. Two key ideas:
(1) diagnostic feedback (stack traces, rendered images, profiler output) is a first-class API concept the LLM proposer reads to make targeted fixes, and
(2) Pareto-efficient search across metrics preserves specialized strengths instead of

averaging them away.

Hey PH folks, sharing something that might help with the last mile after vibe coding.

I m leading GTM for PinMe. It s a deployment tool that helps you put vibe coded pages / portfolio / landing page online in seconds. You can use browser to upload your project or simply deploy with a single CLI command to get a shareable link right away, and there s no account or server setup required.

Had a thought, and I must put it out here:
Over the past year, building with LLMs, I ve noticed that the big change is not necessarily that AI gives us better answers. Change your perspective and think like this: we, humans, are starting to ask better questions. And here's why:
When search engines dominated, we asked:
What is X?
How do I do Y?
Best tools for Z?
With LLMs, the questions are different:
Help me think through this decision.
Challenge my assumptions.
What am I not seeing?
Act as a product strategist and critique this.
Clarify my messy thinking.
That s not getting the information, that s cognitive augmentation.
I feel we re moving from:
Finding knowledge to extending reasoning
And this raises bigger questions for builders:
1. Are we designing AI tools that optimize for answers
or for better thinking?
2. Is the real advantage having a stronger model...
or asking better questions?
3. In a world where everyone has access to GPT-level intelligence,
does leverage come from prompting skill, system design, or taste?
4. What new human skills become valuable when execution becomes cheap?
It feels like we re entering a phase where:
Curiosity > credentials
Clarity > speed
Systems thinking > single outputs
If you re building in AI right now:
What types of questions are your users asking that they couldn t (or wouldn t) ask before?
And are you building for answers or for thinking?
Would love to hear what patterns you're seeing.
______________________
www.zackapp.space
Download Zack from the App Store and soon from Google Play: https://apps.apple.com/us/app/za...

Ever tried explaining something on a website and wished you could just draw on it instantly?

Same. That frustration is why Scribble Pad exists.

Explaining a bug or idea usually looks like this:

Hello Product Hunt community!

A common question we hear is: "My family uses a mix of iPhones and Androids can we still use one tracker together?" The short answer is yes, absolutely.

How Cross-Platform Tracking Works: It doesn't rely on Apple's Find My or Google's Find My Device, which are platform-locked. Instead, services like Number Tracker use a universal method: a dedicated app installed on the device you wish to locate. This app uses GPS and data connectivity to send location to a secure account, which you can then access from any web browser or mobile app, regardless of your phone's OS.

What You Can Do: An Android user can see their child's iPhone location. An iPhone user can check on a family member's Android device. Everyone logs into the same shared account or circle from their own phone or computer.

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