u/Critical-Gene-1422

I’m building StashBase, a local-first app that uses OpenAI embeddings to index and search your files.

For the next version, I want the first-run experience to be:

pick a folder → search

not:

create API key → add billing → paste key → search

I’m considering including 1M, 5M, or 10M embedding tokens per month.

What would be enough to test it on a real knowledge base—not just three perfectly chunked PDFs?

I’m building a local-first tool that indexes your files for semantic search.

I’m thinking about covering the OpenAI embedding usage for new users, mostly so nobody has to paste in an API key before they’ve searched a single PDF.

But embeddings are cheap enough that I’ve completely lost perspective.

1M tokens a month? 5M? 10M?

What says “actually useful” rather than “congrats, you can embed your README”?

My 4-year-old son just started learning tennis a few weeks ago, and we've both really gotten into it.

I'm looking for an active community where people actually discuss practice, equipment, tournaments, and share their kids' progress—not just a place to ask one-off questions.

Have you found any communities that you genuinely enjoy?

Whenever I feel stuck building my startup, I usually talk to ChatGPT.

The answers were often generic.

Then I tried giving it Stanford CS183 as context.

The conversations became much more grounded because the model could reference actual founder principles instead of making things up.

It honestly helped reduce a lot of my founder anxiety.

So I converted the entire course into Markdown for easier retrieval.

I’m experimenting with a public “build map” for my project — a place to share architecture, workflows, planned modules, system boundaries, and open questions while the project is still being built.

The goal is to make the project easier to understand, discuss, and contribute to, for both humans and agents.

Would love feedback, and curious if others are trying similar ways to organize open source projects.

I’ve been experimenting with a small idea around Claude Code / OpenClaw workflows.

I rarely hand-write notes anymore. I usually ask Claude Code to generate docs, summaries, reading notes, etc.

That made me wonder: if AI is writing the note, why should the output always be plain Markdown?

Markdown is still great, but HTML becomes much more practical when a model is generating it — richer layout, collapsible sections, better reading UI, still portable as a single file.

One thing I noticed though: most HTML templates online are for dashboards, SaaS landing pages, admin consoles, etc. Not many are designed for actual notes.

So I started collecting/building HTML note templates + the prompts/workflows used to fill them.

Curious if anyone here has note/doc formats they wish Claude Code could generate directly.

When an outcome looks very likely but the return is small, a lot of people simply don’t bother.
At the same time, the lower-probability side can still get action because people like longshots.

That can leave the obvious side a bit cheaper than it should be.

Yesterday’s peace-deal market felt like a good example to me.
Not because it was guaranteed, but because the market seemed to give too much weight to a less likely path.

Curious whether others have noticed the same thing in similar markets. Happy to discuss.