https://yournextstore.com https://github.com/yournextstore/yournextstore

I'm building Your Next Store (YNS); it's a Shopify alternative built with React and Next.js.

We provide an opinionated boilerplate tailored for tools like Claude or Codex, so designers and developers can build storefronts faster and more easily. It enforces a clear structure to start from while keeping full control over design, animations, and the overall storefront experience. It’s built on top of Stripe, with our higher-level commerce abstractions, like "add to cart", "checkout", "pay", "browse products" etc; plus a Commerce CMS so merchants can manage everything smoothly once their store is live.

If youre planning to sell something online and want a modern solution, hit me up! :)

SPLADE-easy: https://github.com/dleemiller/splade-easy

I wanted a simple retrieval index to use splade sparse vectors. This just encodes and serializes documents into flatbuffers and appends them into shards. Retrieval is just parallel flat scan, optionally with reranking.

The idea is just a simple, portable index for smaller data sizes. I’m targeting high quality hybrid retrieval, for local search, RAG or deep research scenarios.

SPLADE is a really nice “in-between” for semantic and lexical search. There’s bigger and better indexes out there like Faiss or Anserini, but I just kinda wanted something basic.

I was testing it on 120k docs in a simple cli the other day and it’s still as good as any web search experience (in terms of latency) — so I think it’ll be useful.

We’re still trying to clean up the API and do a thorough once over, so I’m not sure I’d recommend trying it yet. Hopefully soon.

I'm working on SuperCurate (https://getsupercurate.com), which is geared towards note retrieval and curation rather than note creation. Think filing cabinet for your notes, web clippings, images and PDFs.

I wanted fast search and filters for my Evernote archive so I could drill down and surface exactly what I was looking for.

There's also a Web Clipper extension for Chrome.

Demos:

Search and curation: https://www.youtube.com/watch?v=z4QSIoUL4Uk

Web Clipper: https://www.youtube.com/watch?v=8F7QoC7X3fs

Search inside PDFs (jumps to page + highlights snippet): https://www.youtube.com/watch?v=t0X9sD-938Q

It's free while in beta, would love feedback if you try it.

We recently launched CapitalReach.ai - https://capitalreach.ai We built it to make fundraising easier for founders, it uses AI to help you:

1. Find and match with the right investors automatically 2. Personalize and automate outreach campaigns 3. Track investor responses and manage your fundraising pipeline in one place

The goal isn’t to replace the hustle, just to remove the repetitive parts so founders can focus on building relationships.

Would love honest feedback from fellow founders and investors here:

Does this solve a real pain point for you?

What feels missing or unnecessary?

How do you currently manage investor outreach today?

This month I wrote a small Windows utility to keep a PC "always awake": prevents the PC from going to sleep (using a Windows API that exists just for that) and simulates invisible mouse movements every 60 seconds to keep apps like MS Teams happy, so that the user always appears active.

There is a PowerToy thingy that's similar but it's full of options and command-line flags. My version has no options, it's just a tray utility that can be toggled on (green) or off (orange) with double-click. There are also physical mouse jigglers but they're cumbersome, and many have visible mouse movements, which is extremely annoying (not all of them do this but many do!)

The full install file is just 100Kb, works on all versions of Windows starting with Win7, installs without admin rights. Can't live without it!

I need to make a website for it but I'm procrastinating on that one last step...

ArtCraft [1], a source available Adobe + AI.

Here's a demo / trailer that shows it off:

https://www.youtube.com/watch?v=NNHSTfWbkaA

If you're into movies or filmmaking, it's a fantastic AI tool for consistent, fully-intentional scenes with deliberate set and actor blocking.

It's also the cheapest model aggregator service out there. You can log into every AI image and video provider directly and don't have to pay me anything to use the tool. You can use your Sora account, Midjourney account, Grok account, etc. It'll soon let you log into other aggregators like OpenArt, plug in your FAL API key, etc. so you can use your credits/funds wherever they happen to live.

Unlike the other "model aggregator" websites like Higgsfield, this is a desktop app written in Rust that you can keep. It also has highly intentional 2D and 3D design surfaces especially built for design.

Text prompting sucks for artists and designers, so I'm trying to put image and video design onto canvases that you can intuitively mold like clay.

Here are some short films made with ArtCraft:

https://www.youtube.com/watch?v=H4NFXGMuwpY

https://www.youtube.com/watch?v=tAAiiKteM-U

https://www.youtube.com/watch?v=SuVW8l-_O3I

Would love to hear feedback if anyone tries it out.

[1] https://getartcraft.com

Working on asking whoishiring not to forget the freelancers next month.

https://news.ycombinator.com/submitted?id=whoishiring

Edit: oops nevermind it's a goner.

https://news.ycombinator.com/item?id=45804464

I'm building RecallBricks - persistent memory infrastructure for AI coding tools.

The problem: Every time you switch between Cursor, Claude, ChatGPT, your AI forgets everything. You spend half your time rebuilding context instead of coding.

RecallBricks automatically captures context from your coding sessions and makes it available across all AI tools via semantic search. Works with Cursor, Claude Code, Continue.dev, GitHub Copilot, or any LLM.

Built the entire stack with Claude Code (meta, I know). Gas utility worker who taught myself to code, now shipping production infrastructure. Currently in private beta, launching publicly in a few weeks.

Tech stack: Render API, Supabase (Postgres + pgvector), Python/TypeScript SDKs, VS Code extension, MCP connector.

Would love feedback - especially from folks juggling multiple AI coding assistants.

A client-side web app to help scuba divers set up their dive computer.

Scuba divers use computers to tell them when to make stops during ascent to prevent decompression illness. Many recent computers implement Bühlmann's decompression algorithm with "Gradient Factors".

Gradient Factors are 2 free parameters that control the "safety" margin of the dive. It's not obvious what values to choose, especially for novice divers.

My app explains what they are and shows their impact on the computed dive plan.

https://repied.github.io/paliers/

I’m working on an AI-assisted reminders app using on device models for iOS.

Things like, “get xyz a birthday gift”, and it finds the contact and sets the reminder for a few weeks before the birthday.

The source data is calendar and contact info, but the nice thing about local models is that no data gets sent to providers, and the app can be cheap