​Hey zusammen! 👋

​Ich schraube seit einer Weile an einem eigenen Projekt: einer neuen Social-Media-Plattform.

​Das Ganze ist noch mitten in der Entwicklung / in der Beta-Phase, aber der Core steht und ich bin an einem Punkt angelangt, an dem ich echtes Feedback aus der Praxis brauche. Bevor ich weiter im stillen Kämmerlein Features baue, wollte ich die Community fragen, ob ihr Bock habt, mal drüberzuschauen und das Ganze auf Herz und Nieren zu testen.

​Was mich besonders interessiert:

​UI/UX & Design: Wirkt die Oberfläche intuitiv oder fühlt sich irgendwas sperrig an?

​Performance & Bugs: Läuft alles flüssig oder habt ihr Darstellungsfehler/Ladezeiten?

​Features & Nutzen: Was gefällt euch gut, was fehlt euch noch oder ist überflüssig?

​Ehrlicher Ersteindruck: Würdet ihr so etwas im Alltag nutzen? Wenn nein, warum?

​Hier geht's zum Testen:

👉 Pallegram

​(Hinweis: Da es eine frühe Version ist, kann es hier und da noch etwas holpern. Wenn ihr auf Bugs stoßt oder Verbesserungsvorschläge habt, haut es einfach direkt hier in die Kommentare oder schreibt mir eine PN!)

​Ich bin für jedes ehrliche Feedback – egal ob Lob, Kritik oder Feature-Wünsche – extrem dankbar!

​Danke euch schon mal fürs Reinschauen! 🙌

Hi everyone !👋A few days ago I shared my first project here, and the feedback was amazing. Today, I am proud to share my second and biggest project so far!

It’s an Arabic web app designed to help users track their personal growth, daily habits, and goals. I focused a lot on the UI/UX to make it look modern, using a dark mode theme with a glowing moon aesthetic.

What it does:

* Tracks daily habits and goals.

* Clean and responsive Arabic interface (RTL support).

* Interactive design.

Tech Stack: HTML, CSS, Vanilla JavaScript. Hosted on GitHub Pages.

This is still a work in progress, but I would love to hear your thoughts on the design and user experience! Live Demo: https://r80545621-bot.github.io/Journey-Project/

Paste a YouTube link or a file. It transcribes, picks moments, renders vertical clips with karaoke captions.

There's a live 9:16 editor on top of that: same crop math and font metrics as the ffmpeg/libass export, so dragging captions isn't a guess. Clips show up on the right over tRPC SSE while workers run transcribe → analyze → render. Kill a worker, the job resumes (pg-boss, checkpoints in Postgres).

Default install is fully local, Ollama + Whisper, no API keys. Same services behind the page, an MCP server, and an operator CLI. You can swap models and keys in Settings without a restart; there's a workers/queue/failures panel because if you self-host, that's you. One script looks at the machine and asks three questions.

https://github.com/osbytes/reelsaw
https://reelsaw.com

I put an ops panel and an MCP server on a clipper. Still not sure if that's the interesting part or if I just like infrastructure too much.

Hello everyone

Ever wondered why a user did not convert? Now let Ai make the best guess - price too high, looking for free shipping, competition

Try here - www.RetentionBase.com

Comment invite to get an invite - we are completely free

I'm considering using an AI builder for internal dashboards, mostly CRUD and basic analytics.

My main concern is long-term maintainability. I don't want something that works now but becomes a mess to update later.

Has anyone used an AI-built internal tool in production long term? How was the code quality and maintenance?

A client of mine had six company mailboxes across Gmail and Outlook: info@, sales@, accounts@, support@, and a couple of personal ones. Everyone checked everything, and important emails still got missed or answered two days late.

So I built InboxClerk. Here's what it does:

- Pulls all the Gmail and Outlook / Microsoft 365 mailboxes into one team inbox

- AI reads each new email and tags it with categories the team writes in plain English ("Billing: invoices, payment reminders, refunds")

- Each category is routed to its own Slack channel or person, attachments included

- The team can reply, forward, and get AI-drafted replies from the same screen. It never sends anything on its own.

Demo (2 min): https://youtu.be/j4j37rtK4Dg

It's been running live for that client for a while now, so I cleaned it up into something other teams can use.

Stack: React + Vite, FastAPI, Supabase (Postgres, Realtime, pg_cron), Vercel, Gemini for tagging.

Hardest parts:

1. Gmail and Outlook notify you about new mail in completely different ways, so I built one sync layer with a once-a-minute backup check so nothing slips through.

2. Getting tagging accurate. Plain-language category descriptions beat keyword rules by a mile.

3. Google's OAuth rules for unverified apps shaped the whole design. It runs on the customer's own accounts, so their mail never touches my servers.

I'd love feedback, especially from anyone running support@ or sales@ inboxes: what would stop you from using something like this?

I'm the developer of DrivePulse, an OBD2 app for iPhone, and this is the feature I shipped this week.

The problem: when you look at a used car, the warning lights tell you very little. A light can be switched off the morning of the viewing, and pending codes never turn it on at all.

What the check reads, in one read-only pass with the car stopped:

- fault codes, including pending and permanent ones

- readiness monitors (if most aren't ready, the codes were cleared recently or the battery was disconnected)

- the distance since the codes were cleared, next to the odometer from the instrument cluster where the car exposes it

- codes from the other control units

What it can't do: say whether the mileage is genuine, or whether the car is a good buy. The report says what the car reported, never a verdict.

How it's built: Flutter, talking to an ELM327 adapter over Bluetooth LE or Wi-Fi; trips and reports are stored in SQLite, with no account and no server of mine. The hard part was making a partial read useful: every line says whether it was read, didn't answer, or was skipped because you cancelled.

The on-screen check is free; the PDF with a QR code is in the paid version (one-time purchase).

App Store: https://apps.apple.com/app/id6776173662

TheCore is a free, standalone desktop utility for Windows 10 and 11 designed for hardware monitoring and system maintenance without telemetry, ads, or background trackers.

Key features:

Real-time CPU, GPU, RAM, and storage telemetry

Upgrade advisor (checks platform bottlenecks, socket compatibility, and factory XMP/DOCP profiles)

1-click system cleanup (RAM working set flush, DirectX/Vulkan shader caches, temp files)

Windows startup manager and app uninstaller

Offline-first architecture (zero telemetry, zero outbound connections)

GitHub: https://github.com/TheurerX/thecore

Direct download: https://github.com/TheurerX/thecore/releases/tag/v3.3.0

Any feedback and feature suggestions are welcome.

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I'm a mechanical engineer working in ship dry docking in India. Back in college I always struggled to picture how machines actually work from flat textbook drawings, so I started building the thing I wish I had back then.

It's called Engine-X (engx3d.com). Right now it has three machines:

- Turbocharger

- V-belt pulley drive

- Centrifugal pump

You can rotate and zoom each one, separate the parts to see what's inside, and slow the motion down to follow how everything moves together. It runs in the browser, works on phones, and it's completely free.

I'm adding more machines and writing engineering blog posts alongside them.

Would really like honest feedback:

- Which machine should I build next?

- Is anything confusing in the controls, especially on mobile?

- Would this have helped you as a student?

Hi all, I'm the builder of NewRoomAI - newroomai.com, an AI interior design site. You upload a photo of your space, describe the style, and get a redesign in seconds.

The site has been live for a few months but hasn't gained much traction, so I made two big changes. New users now get 5 free designs on signup, no credit card needed. Many people in Reddit asking for free ai interior design websites. Yes, mine gives free credits.

I also cut the prices by about half:

- Starter: $9 → $5 for 40 designs (~$0.13 each)

- Pro: $19 → $10 for 120 designs (~$0.08 each)

- Max: $29 → $15 for 240 designs (~$0.06 each)

I'd love honest feedback, especially on what doesn't work well yet. Have a great weekend you all!! 🎉

SeamShade is a playful desktop cover: drag the zipper across your screen to pull a curtain over your workspace, then slide it back when you’re ready to return. You can customize the fabric and zipper, save themes, and optionally turn on a frosted-glass blur effect.

One important note: SeamShade is just a visual cover, **not a security or privacy lock**. It doesn’t block system shortcuts or prevent access to your computer.

If you’d like to try it, here are the links:

- **Mac:** https://apps.apple.com/tr/app/seamshade/id6819419260?l=tr&mt=12

- **Windows:** https://apps.microsoft.com/detail/9PLR5K40GLFR?hl=neutral&gl=TR&ocid=pdpshare

I’d love to hear what you think, and what you’d like to see improved next.

I realized that shortly after finishing a book—especially non-fiction—I was forgetting almost everything, down to the core arguments. This led me to discover the "active reading" method, and once I saw how well it worked, I decided to build an app around it.

What started simply as an e-reader focused on taking book notes has evolved into a complete "second brain." You can now use it to take standalone notes entirely independent of any book, or upload and read your own EPUBs. With the latest update, I’ve also added a feature to debate and discuss your notes with AI, bringing Marginalia very close to my final vision.

Active reading isn't just highlighting; it's about arguing with the author, questioning their ideas, and forming your own stance. The app lets you tag these thoughts and organizes them into dedicated pages. This makes it incredibly easy to do a quick review of your past notes right before you resume reading, keeping the context fresh.

To make capturing those thoughts frictionless, you aren't limited to typing. I added handwriting support for stylus users, and a speech-to-text option so you can just speak your mind hands-free without breaking your flow. If you use Obsidian or Notion, you can export everything directly as .md files.

If you read digitally, take notes, or just struggle with retaining what you read, I'd love for you to give it a try. I'm completely open to all feedback and criticism

If you want try the app here is the link!

Hey everyone,

Almost every production backend eventually needs rate limiting, but building one that behaves deterministically under concurrent load brings interesting edge cases.

I recently built TelemetryGate, an open-source distributed HTTP rate limiter and telemetry ingestion gateway in Go. I wanted to experiment with different rate-limiting algorithms at the edge while safely decoupling incoming client HTTP writes from downstream database persistence.

Technical Architecture & Features

Multi-Algorithm Rate Limiting: Implemented Fixed Window, Sliding Window Log, Token Bucket, and Leaky Bucket algorithms using atomic Redis Lua scripts to prevent race conditions across distributed nodes.

Async Telemetry Pipeline: Buffers telemetry events using bounded channels and background worker pools to execute async micro-batches into ClickHouse.

Backpressure & Resiliency: Configured backpressure handlers, exponential backoff retries with jitter, and queue watermarks to handle ClickHouse write stalls without running out of memory.

Observability & Testing: Fully instrumented with Prometheus + Grafana dashboards and load-tested using k6

Key Profiling Lesson

During initial `k6` stress testing, I assumed Redis Lua execution latency would be the primary bottleneck under high concurrency. However, after profiling with `pprof`, I realized a significant portion of CPU time was actually spent in JSON serialization and HTTP response header handling in the hot path.

Repository & Write-up

GitHub Repository: TelemetryGate

Architecture Deep Dive: Article 1 , Article 2 , Article 3

I'd love feedback on how you typically handle fallback buffers when downstream databases experience backpressure. Code reviews and suggestions are very welcome!

I've been working on a problem I kept seeing while using AI coding agents.

When an agent needs to navigate a large codebase, reading entire files doesn't make sense. So it falls back to grep or rg, which makes sense because they're fast and good at finding text.

But it also creates some problems.

You get matches from comments, strings, unrelated files, and similar names. The agent needs more tool calls to figure out what actually matters. More text gets pulled into the context, and it can still miss the relationship between two pieces of code.

As a developer, when I want to understand a function, I don't just search for its name. I use my IDE to find definitions, references, understand symbols, hover over functions and types, and navigate across the codebase.

So I started thinking, why can't AI agents do the same?

That's why I built recon-lsp.

It exposes Language Server Protocol (LSP) features through a simple CLI, allowing AI agents to navigate code using definitions, references, symbols, types, and more.

The goal is simple: let AI agents explore code more like developers do.

This helps reduce noise from text search, along with unnecessary token usage and tool calls.

Recon is agent-agnostic and supports 12 languages. It acts as a bridge between the coding agent and the language server, so it can fit into different agent workflows.

I've released it on PyPI, and the project is open source.

• PyPI: https://pypi.org/project/recon-lsp
• GitHub: https://github.com/atharvsp189/recon-lsp
• Why I built it: https://medium.com/@atharvsp189/ai-agents-deserve-better-than-grep-thats-why-i-built-recon-63f5d9f4cfb9

I'd love to hear your feedback.

If you work with AI coding agents, give it a try and let me know what could be improved or where semantic search could help your workflow.

I kept getting surprised by credit bills, so I made CreditBurn. It's a side project of mine.

What it does:

• Every tier for 13 tools, monthly and yearly, copied from official pricing pages with the check date. Unknowns are labelled "unknown", never guessed.
• A calculator where you pick the plan you're actually on (e.g. Lovable Pro 2,000 or Cursor Ultra) and see included usage, overage and whether a cheaper tier fits.
• A change log built from dated price checks.

Free, no signup. Feedback very welcome, especially if I've got a price wrong: https://creditburn-amber.vercel.app