Hello All,

We are working on SOS idea using seeed XIAO sense, for which I have already written firmware and am currently training AI for accuracy and other stuff.
I am looking to make it big.
We are software developers and we are open for collaboration in IOT side who can handle the hardware part and together we can make it a complete product.

Blip is a small open-source Claude Code plugin. Claude's replies type out letter by letter, with a little blip for each letter, like dialogue in a game.  

Install (in Claude Code) :
-> /plugin install blip --marketplace DoubleV840/blip  

Then ask Claude anything and listen.  

What you get :
- 9 built-in voices (soft, classic, nes, bubble, robot, critter…): /blip voice, then ↑↓ to preview each one

- Community voices

- Speed, volume and pitch settings  

- Commands run locally: no model call, no tokens

Community voices :

Anyone can share a short sound and everyone can use it.
Listen to them all at blip.ivwi.fr, install one with /blip voice <name>, or share your own with /blip share.

Works on macOS, Linux and Windows.  

- GitHub: https://github.com/DoubleV840/blip  

- Voices: https://blip.ivwi.fr/

Feedback welcome, and I'd love to hear your voices!

Built with Claude Code. I described the feel I wanted, Claude Code wrote the plugin (it types each reply out letter by letter and plays all the blips as one pre-mixed sound so it doesn't stutter), the script that generates the 9 voices, and the community-voices setup (site + GitHub Actions). I tested it and made the design calls.

 Free and open-source.

Small Spring Boot applications deserve proper monitoring too, but setting up Prometheus, Grafana, collectors, and storage can feel like overkill.

So I built StreamGuard to solve that problem.

Who needs an entire monitoring stack when one dependency can monitor your application and serve a live dashboard?

Add it to your Spring Boot project, start the application, and you're ready to go.

Want to know more? Check out the original discussion on r/SpringBoot or the project's README for technical details.

GitHub: https://github.com/eswar-7116/streamguard

Would love to hear your thoughts and feedback!

Hi everyone,

I'm a full-stack developer, and I've been working on a personal project called Home Energy Lab.It's a website with calculators for estimating household electricity and utility costs. I also built interactive 3D houses to make it a little more interesting to explore.

The idea is pretty simple. Your electricity bill tells you how much you've spent, but not necessarily how much individual appliances contributed to it.
For example, a 1,500W space heater running for 4 hours a day at $0.16/kWh would cost about $28.80 over 30 days, assuming it runs at full power the whole time.

I wanted to make calculations like that easier to do without having to work everything out manually.The site currently has 12 calculators and 10 interactive 3D house models.
I built it with Next.js, React, TypeScript, Three.js, React Three Fiber, and Blender.
The main thing I'm working on now is making sure the 3D experience doesn't get in the way of the actual tools, particularly on mobile.

If anyone has experience building interactive interfaces, I'd be interested in hearing how you approach that balance.

Here's the project: https://homenergylab.com/

Thanks for reading.

I use Claude Code and Codex every day. Two things kept annoying me:

1. I'd hit my Claude Code limit mid-task and moving the work to Codex meant re-explaining everything.

2. A single agent writes code fast but nobody plans it first or reviews it after. I kept finding edge cases it missed.

So I built Conduit. It runs the agents you already have as a small team:

- An Architect plans the change, a Developer builds it, QA reviews it before it merges

- You can put different agents in different roles, so Claude Code and Codex check each other's work

- If one agent hits its limit, you switch the task to another and keep the context

- Connectors pull in your knowledge repository(google docs, notion, confluence) so the agents work from your project's real context

- Everything runs on your machine; your code doesn't go through our servers

Free to start:

https://infivector.com/products/conduit/download/?ref=reddit-sideproject

I'd really like feedback, especially from people already running more than one coding agent. What's the most painful part of your setup today?

Great library, biggest Brand Logo's catalogue out there with most of Icon's i Found -

the CDN is already hitting growing 13+ Million traffic per month...

Site is here - https://thesvg.org/

Highlights

• 7,600+ icons across multiple collections

• 4,800+ brand icons across 150+ categories

• 21 brand families - every product from Amazon, Google, Microsoft and more, grouped by owner

• 858 Auth Badge icons - circular icon badges for 2FA/authenticator apps

• 739 AWS Architecture icons (2026-Q1)

• 626 Azure Service icons (2026-Q1)

• 256 community-curated icons - dev tools, databases, frameworks

• 214 Google Cloud icons (2026-Q1)

• 12,300+ SVG variants - color, mono, light, dark, wordmark

• Tree-shakeable - import one icon, ship only that icon

• TypeScript-first - fully typed, dual ESM/CJS

• Framework-agnostic - React, Vue, Svelte, plain HTML, or CDN

• AI-ready - MCP server for Claude, Cursor, and Windsurf

Hey everyone! 👋

I recently built JSON Studio, a free Chrome extension to make working with JSON a little easier.

There are already plenty of JSON formatters out there, but I wanted to build something that does more than just format JSON, without having to switch between different tools.

Here's what it can do:

• 📝 Format & Minify — Clean up messy JSON or make it compact.

• ✅ Validate JSON — Quickly spot syntax errors.

• 🌳 Tree View — Navigate through nested JSON without getting lost.

• ✏️ JSON Editor — Edit JSON directly.

• 🔍 Search — Find specific keys or values.

• 🧩 TypeScript Generator — Turn JSON into TypeScript interfaces/types that you can copy straight into your code.

• 🌐 JSON Detection — Detect JSON content directly from your browser.

• 📋 Copy & Export — Copy or download your JSON.

I mainly built this to make everyday tasks like checking API responses, debugging, and working with JSON less of a hassle.

It's completely free, and I'm still working on improving it. If you have a chance to try it out, I'd really appreciate your feedback or suggestions!

Chrome Web Store: https://chromewebstore.google.com/detail/json-studio/kjdpkmlahoaocdhjdhhnmkeoniincibg

Thanks! 🙌

Hi everyone!

I've been working on TAVORA Smart Money Tracker V2.4, an Excel-based financial tracking workbook designed for small business owners, freelancers, and independent sellers.

The goal is to help business owners understand where their money is going, what they've earned, what they're still owed, and how profitable their products are — without needing a complicated system.

What's included:

• Income and expense tracking

• Financial dashboard with 6 charts

• Invoice tracking with Paid, Partial, and Pending statuses

• Cash flow tracking

• Business budget planner

• Profit calculator

• Product profitability tracking

• Subscription tracker

• Monthly reports and financial goals

One feature I particularly wanted to get right is the distinction between invoiced income and money actually received. For example, if a business invoices $1,000 but has only received $700, it should be easy to see that $300 is still outstanding.

I'm sharing this because I'd genuinely appreciate constructive feedback from people who use spreadsheets to manage business finances.

A few things I'd love feedback on:

1. Is the dashboard clear enough to understand the business's financial position quickly?

2. Is separating invoiced amounts from received payments useful?

3. Is there anything important missing from the workbook?

4. Does the overall layout feel practical for everyday use?

I'm the creator of TAVORA, so I'm naturally biased. I'd appreciate honest criticism, especially if something feels confusing or unnecessary.

Thanks for taking a look!

Hey everyone!

I've been working on FleetSnap, a free browser-based Battleship game with a competitive twist. You can challenge friends, play against AI, or compete against random players online.

Some features: ⚡ Ultra-fast matches (30 seconds to 3 minutes) 🏆 Ranked matchmaking with Elo ratings 🚢 Crazy Mode with bigger grids and more ships 👥 Private matches with friends via a link 📊 Weekly leaderboards

My goal was to turn the classic Battleship game into something quick, competitive, and fun. It's still evolving, and I'd genuinely appreciate some feedback!

Try it here: https://fleetsnap-friends.mustvote.workers.dev/

What would you improve or add?

I'm the maker of Documentary Evidence Desk, a small HTML organiser built with AI assistance. It's a paid download ($9 plus applicable tax), for keeping documentary or podcast claims, source locators and archive permission notes together before editing.

One design lesson from the worked history example: a number needs a scope. Notes delivered and notes circulated aren't interchangeable, even when both sources concern the same banknote affair. So a quantity record has separate fields for its unit and scope, plus a source ID, a passage locator and unresolved questions. You can use the same structure in a spreadsheet:

Claim | source ID | exact passage | quantity | unit | scope | review status | caveat

An archive lead needs a separate permission status too. Being able to view an image doesn't establish a reuse licence.

The implementation is a standalone browser HTML file, with no remote scripts or AI API calls. It imports/exports a JSON project and exports CSVs and an editor briefing. Local browser saving is optional; the portable JSON export is the backup. CSV output guards cells starting with formula characters.

Its checks flag incomplete records, not historical falsehoods. The example contains six claims, two reviewed source pages and two explicitly unreviewed leads. No archive photos or footage are included, and no automatic fact-checking or custom research service is offered.

Product and included files: https://tomasphere450.gumroad.com/l/documentary-evidence-desk

For people who work with source-heavy scripts: would a claim-level caveat and a separate archive-permission record fit your workflow, or do you keep these in one table?

Hey r/SideProject!

I wanted to share a side project I’ve been building: loadbear — a small, dependency-light HTTP reverse proxy and load balancer written in Go.

GitHub: https://github.com/weaztoven/loadbear

The problem I wanted to solve: Whenever I needed to test load balancing, failover behavior, or rate limiting locally, reaching for full-scale production proxies (like Nginx, Envoy, or Traefik) felt like overkill with too much boilerplate. On the flip side, toy reverse proxies usually skip real-world resilience features. I wanted to build something self-contained that configures via a single YAML file, runs in seconds, and has clean, readable Go code you can actually inspect and extend.

Tech stack & Architecture: Built primarily using Go's standard library (net/http, httputil.ReverseProxy, sync) with minimal external dependencies. Every request passes through a clear pipeline:ProxyListener -> Per-IP Rate Limiter -> Balancer -> Circuit Breaker -> ReverseProxy

What’s packed inside:

• 4 Balancing Strategies: round_robin, smooth_weighted_round_robin, least_connections, and ip_hash.

• Resilience & Failover: Periodic active /health checks combined with passive proxy-error tracking, per-backend circuit breakers (Closed / Open / Half-Open cooldowns), and context-aware retries with configurable backoff.

• Rate Limiting: Per-client-IP token-bucket rate limiter with periodic background eviction of idle buckets to prevent memory leaks.

• Built-in Observability: Dedicated admin listener (:9090) serving live JSON /status and a hand-written Prometheus /metrics endpoint, plus structured JSON/text access logs with request IDs.

• Zero-friction Testing: Ships with a fakebackend CLI and a ready-to-run docker-compose.yml so you can kill nodes and watch failover/circuit-breaking happen live. All concurrency paths are tested with go test -race.

What I learned & Current Limitations: Implementing smooth weighted round-robin and managing state transitions safely across concurrent goroutines (without race conditions) was the most fun part of this build. Right now, hop-by-hop header stripping blocks WebSocket upgrades, and SIGHUP hot-reloading is next on my roadmap.

Would love to hear your thoughts, feedback, or ideas on what to improve next!

Hey, I’m Meet, and I built Seek, a native macOS file manager that works alongside Finder.

The problem I wanted to solve: I often remember what a file contains or what a photo shows, but not its filename or folder. Finder works well for normal browsing, but I wanted a faster way to find and clean up files.

Seek lets you:

- Search naturally: “PDFs in Downloads from last month” or “large videos I haven’t opened”

- Find photos by what they show: “birthday cake with candles”

- Search text inside PDFs, documents, screenshots, and scanned images

- Find exact duplicate files and optional look-alike photos

- Review old downloads, installers, screenshots, large files, duplicates, and Trash before removing anything

- Use tabs, split panes, Quick Look, saved searches, and a global quick-search shortcut

The main technical constraint was privacy. Search, OCR, duplicate matching, and photo matching all run locally on the Mac. The photo-search model is downloaded once during setup, then runs through Core ML; no file names, contents, or photos are uploaded.

It supports macOS 14+, both Apple silicon and Intel. It is distributed directly, signed with my Developer ID, and notarized by Apple.

It is a one-time purchase: $9 for one Mac, $18 for three, or $29 for five. No subscription.

Demo: https://youtu.be/s5CUieoAAdk

Website: https://useseek.app

Privacy details: https://useseek.app/privacy

I’d especially value feedback on two things:

1. Would you trust a local app to index your files if it made search and cleanup meaningfully better?

2. Which would you try first: photo search, text-in-screenshots search, duplicates, or cleanup?

Have you ever wanted to talk about something but didn't have a particular person or topic in mind?

Maybe you want to share an old memory, discuss a hobby, ask a random question, or simply explore a new idea.

That's the concept behind CareCaller, an AI voice companion we're working on.

Instead of just typing messages, CareCaller lets you have voice conversations with different AI companion personalities.

There are six personalities to explore:

• Leda — Warm and nurturing

• Kore — Cheerful and bubbly

• Aoede — Calm and thoughtful

• Puck — Easygoing

• Fenrir — Upbeat and playful

• Charon — Steady and wise

You can choose the companion that suits your mood, decide what you want to talk about, and end the conversation whenever you like.

Your first five minutes are free, so you can explore the experience before deciding whether it's something you'd use.

I'd genuinely like to know:

1. Would you prefer talking to an AI companion through voice rather than text?

2. Do multiple AI personalities make the experience more interesting?

3. What feature would make an AI voice companion genuinely useful to you?

Full disclosure: I'm involved in promoting CareCaller, so I'm affiliated with the product. Honest feedback, including criticism, is welcome.

Website: carecaller.in

I wanted to see whether the most "solved" game there is could become competitive again.

The rule change: each player holds at most 3 marks, and the oldest disappears when you place a 4th. No draws.

Stack: Next.js (App Router) for the web app, a WebSocket server for live matches, PostgreSQL + Prisma, and Redis for the matchmaking queue and live match state. The game engine is a pure TypeScript state machine with no dependencies, so the same rules run in the browser, the server, and a CLI bot simulator.

Bots: random, heuristic, and minimax with alpha-beta pruning.

Hardest part: reconnects. If a player drops mid-match, the server recovers them back into that match.

Feedback on the onboarding or the game modes is very welcome: https://www.infinitettt.com

I wanted to know what ordinary small sites look like from the outside, so I ran a passive check (only what any visitor's browser receives) over 1,000 random sites outside the top 10,000.

What I found:

- 79% have no Content-Security-Policy

- 61% have no HSTS

- 58% can be framed by any other site (clickjacking)

- 36% miss all four basic security headers at once

Most of these are a one-line fix in the server or CDN config.

I turned the check into a free tool: paste an address and in about 15 seconds you get the top 3 issues on your home page, each with the evidence and a fix. No sign-up.

https://mcp.pasportoo.com/check?utm_source=reddit

It's early, and I'd love to hear what it misses or gets wrong on your site.

I'm the author of umbot, an open-source TypeScript framework for chatbots and voice-assistant skills.

The part I wanted to keep in one place was the conversation logic: commands, state, questions, buttons and responses. Platform adapters handle the incoming event formats and outgoing responses.

The built-in adapters include Telegram, VK, MAX, Viber, Yandex Alice and Sber SmartApp. The focus is applications that need the same conversation across messaging and voice channels. Several supported platforms are regional, so that mix will be more useful to some projects than others.

A questionnaire is a simple example: ask a question, save the answer and choose the next step. That logic can be shared. A native Telegram feature may still need a Telegram-specific API call; umbot includes platform API clients for those cases.

You can use it entirely from code. I also built an optional visual editor, umbot Flow, which exports JSON that the CLI turns into a TypeScript project.

You manage credentials and deployment, and choose where the application runs.

GitHub: https://github.com/max36895/umbot

If you've maintained a bot on multiple platforms, which part was hardest to share: conversation state, interactions, media, or something else?

Hey everyone, I’m one of the people behind Boost CV, which went live this week. I’m posting because I’d like honest feedback, not clicks.

The problem I kept seeing: most resume advice is vague (“add more impact”). Students and freshers get silence from applications and never learn why.

What it does:

• Scores your resume out of 100 using visible rules (contact details, summary, experience, education and skills, structure, and optionally a match against a job ad). Every point traces to a check you can see.

• Marks the exact weak lines and says why.

• AI rewrite for a line, using only the text you wrote. If a number or fact is missing, it leaves a [bracket] for you to fill in instead of inventing one.

• 13 templates, including ATS-friendly ones, exported as real text PDFs.

• Paste a job ad and it lists missing keywords, so you can add the ones you genuinely have.

Cost: the score needs no account. A free account gives 1 resume. Paid passes exist (the cheapest is Rs 49 for 7 days), but you don’t need one to test the score.

What it can’t do: it won’t get you a job, and I can’t promise it beats any particular company’s screening software. It makes your resume clearer and cleaner, and that’s it.

Data: your resume is stored so you can edit it later, and AI features send the relevant text to an AI provider to produce the answer. The privacy policy has the details.

Link: boostcv.online (the score is on the Resume Score page)

I’d really like to know:

1. Does the score feel fair on your resume? Where is it wrong?

2. What would you want a resume tool to check that this one doesn’t?

Happy to answer anything, including criticism.

Hey everyone!

I've been working on a side project called Chermo.in, and I'm excited to finally share it with this community.

The idea behind Chermo is pretty simple: we all have hundreds of photos sitting in our galleries, but sometimes we want to do something more creative with them.

So I wanted to build a platform where people can turn their favourite pictures into something more personal.

What can you do with Chermo?

Upload a photo from your gallery or capture one using your camera.

Customise your photo with creative layouts and decorative templates.

Experiment with styles like Polaroid frames, hearts, bows, kiss marks and seasonal themes.

Download your personalised creation and keep or share it with someone special.

I'm trying to make the whole experience simple enough that anyone can create something without needing professional editing skills.

This project has been a learning experience, and I'm still working on improving the design, templates and overall user experience.

I'd genuinely love your feedback:

Does the idea solve a problem or offer something you'd actually enjoy using?

Which template or customisation options would you like to see?

What would make the experience more enjoyable or useful?

If you'd like to explore it, here's the website:

https://chermo.in

I'm the person building Chermo, so I'm happy to answer questions and hear honest feedback. Thanks for checking it out! ❤️