u/jellzone

Founder disclosure: I built this.

I’ve been working on a tool for founders who have too many scattered ideas, AI chats, screenshots, notes, customer requests, and “I should do this later” thoughts.

The basic idea:

Instead of manually turning everything into a project board, you can dump messy inputs into the app and organize them into Papers, Tickets, and simple Workflows.

One thing I’m testing is a plugin-based flow:

- import or capture ChatGPT / Claude conversations

- archive them into the right Paper or Ticket

- turn useful parts of multiple chats into a basic workflow

- keep the underlying data open as JSON so it is not locked inside the app

- let people use their own AI tools/API where possible, instead of forcing another expensive AI layer

The problem I’m trying to validate:

As a founder, I don’t think I only have a “task management” problem. I have an input chaos problem.

Useful thinking is spread across:

- ChatGPT threads

- Claude chats

- customer notes

- random product ideas

- bug reports

- launch plans

- screenshots

- half-written docs

The hard part is deciding what should become a ticket, what belongs in a workflow, what should be archived, and what is just noise.

I’m building this mostly for solo founders and tiny teams who do not want a heavy PM system, but still need a way to turn raw thinking into execution.

I’m not sure yet if this is a real pain or just my own workflow being messy.

Curious:

Do you already have a system for turning messy founder thoughts / AI chats into actual tickets and workflows?

If yes, what do you use?

If no, where does this usually break for you?

Disclosure: I’m building this.

I’ve been working on StampDesk, a visual workbench for people who use AI tools a lot but don’t want every workflow to become an API project.

The core workspace is browser-local: tickets, tags, stamps, workbenches, and receipt-style archives live in IndexedDB by default, with JSON export/import for backup. The product is not “pure local-first” in the strictest sense, because account/sync/community/subscription features can involve cloud services when enabled. But the everyday desk itself is meant to stay usable as a local browser workspace.

The problem I’m trying to solve is less “task management” and more “AI work loses its shape.”

A user might have:

- a ChatGPT answer they want to turn into next actions

- a pile of links and notes

- reusable prompts

- tags that represent context, not just categories

- a plan for writing/research/content

- some record of what actually got finished

Most tools push this either into a linear todo list, a document, or a full automation/API stack. I’m trying a more physical metaphor: paper-like tickets on a desk, stamps for state, tags for context, and receipts for completed work.

The local-first questions I’m wrestling with:

1. Is browser-local IndexedDB + manual JSON export enough to be meaningfully local-first for a personal workbench, or does that language feel too loose without stronger file ownership / sync guarantees?

2. If optional cloud sync exists, what’s the cleanest way to communicate “local-first core, cloud-optional features” without sounding like marketing wordplay?

3. For AI-heavy workflows, what data should absolutely remain user-owned and portable: prompts, tags, task history, source links, generated outputs, relations between notes?

I’d especially value critique from people who think seriously about local-first boundaries. I’m less looking for “nice app” feedback and more for where this architecture or language might be misleading.

Project link if useful for context: https://www.stampdesk.io