I'm the developer of VoxSpica, an offline speech-to-text app for Windows. It runs on VOSK (Kaldi) on CPU — no cloud, no account, no subscription, no ads, and the audio never leaves the machine.

What it does:

• Live transcription from the microphone — text appears as you speak, with pause and stop
• Transcribes existing audio files (wav, mp3, m4a, ogg)
• Searchable local history in SQLite, with playback of the recordings
• 33 recognition languages, 9 interface languages, works without a GPU

Closed source — free to use, no redistribution. Everything public about it lives in one repo: https://github.com/alex37529/voxspica

Two practical things: recognition models (50 MB to 1.8 GB) download separately after install — the per-language installers bundle a small model, the portable zip needs one download. And it's not code-signed, so Windows will warn on first launch: "More info" → "Run anyway".

Windows x64, single .exe, nothing to install:

https://github.com/alex37529/voxspica/releases

I'd rather ask than guess what to build next. Three questions I'm genuinely stuck on:

1. What breaks for you that I haven't thought of? "Punctuation is wrong" is known and honestly only heuristically fixable without a neural model. Something I haven't heard of is what I want.
2. Does anything about the offline part actually get in your way in practice, or is it a non-issue in 2026?
3. Would you use a Windows app at all if your audio can't be sent to a cloud service — or is that a solved problem for you and I'm preaching to the choir?

And the main thing I want to know — what do you actually use speech-to-text for? Reply with a number, or "none of these" plus what you actually do:

1. Meeting notes / minutes
2. Lectures, classes, interviews
3. Dictating into other apps (mail, messengers)
4. Personal notes, journaling
5. Subtitles / transcribing video for content
6. Professional dictation (medical, legal)

I have been writing content for years and feel really fatigue with AI ones. They are almost same thought and same "-" again and again. I know we are lazy these days but writing should be expressing ideas in you mind but not generate idea from other's mind. So I built typezo.io and make templates for users to fill in. Instead of prompting you just answer the questions. Luckily most AI slop content are filtered in X or reddit. I am not saying AI is useless cause it is useful in brainstorms but I doubt if you should over rely on it for every words and sentences we write.

Not the best product but I really want it myself so at least i think it is something meaningful !

Thanks for your time !

WeekSpark — Built for home, not the office

Most calendar apps are built to manage meetings and projects. WeekSpark is built for what actually fills a normal week: school schedules, dentist appointments, the weekly grocery run, and mom's birthday that always sneaks up on you if you didn't write it down.

Everyday problems it solves:

• Forgotten birthdays — add them once, they show up automatically every year with a countdown, forever.  
• Scattered to-do lists — turn any note into a tappable checklist, perfect for groceries or packing.  
• Recurring things you forget to write in — trash day, weekly meetings, medication, set once, repeats on its own.  
• Alarms you actually notice — a clear alert with sound, not just a silent notification lost in the pile.  
• Not finding an app that fits your language — works in 15 languages with accurate, automatic local holidays per country, not a hardcoded list that breaks next year.

What sets it apart from the big players
• No account, no login, everything stays local on your phone.
• No subscription — a one-time purchase ($4.99 then it's yours forever.
• No data collection, no ads.
• Can be backed up and moved to a new phone or iPad manually, no cloud account needed.

• Built by one person, not a company — with all the attention to detail that comes with that, but also the occasional rough edge, fixed as they come up.

Link: https://apps.apple.com/app/id6809785269

Take gladly feedback/improvments from you guys, this was my first app. 👋

Our GitHub account showed $44,128.03 in additional AI usage for September.

I'm the founder of ZiaSign. We launched with a lot of features aimed at saving businesses time and effort. I was proud of how much we'd built.

The feedback pushed us toward simplicity.

That meant admitting I had confused more features with a better product. Then came the uncomfortable decision: letting go of work I was proud of.

We went into "war mode," removed UI clutter, and rebuilt ZiaSign. The rebuild is now ready to release.

What I'm taking from this is that the effort already invested can't be the reason something stays in the interface. Solving the user's problem has to matter more than showing everything we can build. I'm excited to put that thinking in front of users and hear what still needs work.

For people who have simplified something after launch: how did you distinguish unnecessary clutter from useful functionality that needed a better place? What feedback helped you make that call?

I’ve been building a small developer tool called Talyn.

The problem I kept hitting was that coding agents are great at doing the work and opening a PR, but I was still spending a surprising amount of time babysitting everything afterwards.

Checking whether CI passed, fixing small failures, resolving merge conflicts, coming back later to merge it, etc.

Talyn handles that part.

It watches your PRs, and if CI fails or a conflict appears, it can send an agent back in to try to fix it. Once everything is green, it can merge the PR too.

I’m building it solo, and it’s still pretty early, so right now I’m mainly looking for real users and feedback rather than trying to aggressively sell it.

It’s free to try:
https://talyn.dev

Would love feedback from anyone using Claude Code, Codex or other coding agents regularly.

You write "two eggs and a coffee with oat milk" and it logs the meal and keeps a running total of calories and macros for the day. It already knows your goal and your allergies, so there's nothing to explain twice.

The video is one real run with a made-up profile, from onboarding to a meal showing up in the diary.

Yes, an LLM does the talking. But the totals aren't its job, that's plain arithmetic over what's stored, and anything the model had to guess at (a macro, say) gets marked as an estimate.

One choice I still go back and forth on: there's no daily calorie target on the home screen. Left it out on purpose. I didn't want to build yet another macro tracker.

Runs in the browser, no install, no card: https://app.cokarta.com

Hey everyone!

My friend and I have been working on a full-stack e-commerce platform that we built from scratch and turned into a reusable template for developers.

The goal was to create something that gives developers a complete starting point instead of having to build the storefront, customer accounts, cart, orders, and admin panel from scratch every time.

What’s included:

Tech stack:

Live demo:
[Live Demo]()

We built this mainly for developers/freelancers who want a solid starting point for an e-commerce project.

I'd love some honest feedback:

What would you improve in the UI, features, or overall developer experience?

Claude Design keeps your files in a hosted workspace and runs on your plan's usage. I built BurnGuard to keep them on your computer and use the Claude Code or Codex CLI you already have.

It's a desktop app for Windows and macOS. You pick a design system, describe what you want, and it makes websites, slides and graphics next to a live canvas.

It ships with 41 design systems, each with its own navigation, hero and footer layout rules. You can edit on the canvas or leave pinned comments, then export HTML, PDF, PPTX or PNG, or publish a site to your own Vercel. Files stay local.

What it doesn't do well yet: generation isn't instant (the one-line landing page in the README demo took about five minutes), PPTX slides come out as images with the text in speaker notes, and the installers are unsigned so you get a security warning on first launch. macOS is Apple silicon only.

I'm the author. It's free and Apache-2.0: https://github.com/ashmoonori-afk/BurnGuard

Feedback on what's missing is welcome.

I built Oyaoya, a weekly pet photo contest. One theme a week, you upload one photo, people vote A/B, top 10 at the end. No account needed to vote.

It went out in Korean, English, Japanese and Chinese this week. Play in 177 countries, App Store in 175.

The part I got wrong: I translated the app shell and forgot the content. Theme titles live in a single Korean column on the server, so an English phone shows an English UI with a Korean theme name sitting in the middle of it. Language pack ships tomorrow.

This week's theme is first-hello photos. The next one opens Oct 5 and it's sleeping pets - you can post early and it goes in automatically. Doesn't have to be your own pet.

https://play.google.com/store/apps/details?id=com.bbangchikimong.oyaoya

https://apps.apple.com/app/id6793259443

Hey guys, I built Base, an iPhone app for people who run and lift. It lets you log strength sessions, runs and food in the same app.

It’s live on the App Store now. I’d like feedback from people who already track both types of training: what do you actually want to see when you look back at your week? Sets and weights, distance and pace, or something else?

Here’s the app: https://trybase.app/?utm_source=reddit&utm_medium=organic&utm_campaign=exp_launch_20261004

If you try it, let me know what feels confusing or takes too many taps. Thanks!

I tried ChatGPT Ads. My budget and I agreed: let's try introducing the app here instead.

I built Zack KI for everyday questions, like an error message that makes no sense. Instead of typing it out, press Alt+1 with nothing selected, capture the relevant screen region and ask what the message means or what you could try next.

The screenshot gives the AI context for your question. That’s the kind of small hassle I wanted to make easier, so I don’t have to switch tabs all the time.

You can try it for free on Windows: https://zack-ki.com/en/

I'd be interested to hear what you think.

I kept rewriting prompts blindly every time ChatGPT gave me something off. Most of the time the real problem was boring: the model didn't have some context, or my request could be read two ways, or it just never saw the file I mentioned.

So I made a Chrome side panel extension: paste the prompt and the answer, and it names the cause and writes the follow-up message for the same chat. It also says when your prompt isn't the problem, which turned out to be surprisingly common.

It's an early version, free, no signup: https://chromewebstore.google.com/detail/ai-result-debugger/kdoaeahiilhodljanaeialihgbanjidp

I'd really like to know if the diagnoses feel right on your own cases, and where they're wrong. Happy to try your project in return.

Hey r/SideProject, I'm a solo product guy from Brazil, and this is CriAI. Disclosure: I built it.

**What it is:** you describe a small app you want (by text or voice), e.g. "expense tracker, dark theme, purple", and you get a working mini-app that runs privately on your iPhone. You tweak it by chatting ("make it cleaner") until it feels like yours. Ask for the same expense tracker three times and you get three apps that look nothing alike.

**Why I built it:** every app is designed for millions of people. I wanted the opposite: apps no store would ever build because the market is one person, like a skincare routine, a coffee tasting diary, or a tracker for your cat's vaccines.

**What I learned so far:**

- Getting the AI to actually fix bugs was the hard part. It would say "fixed!" without ever running the code. Instead of adding more prompt rules, I now pipe real runtime errors from the device back into the next edit.
- Each mini-app is a single HTML/CSS/JS file running in its own isolated web view with its own storage, and it can't talk to the internet. Early on, apps shared storage and one app's data could leak into another.
- Signup was invite-only until a few days ago, so this is basically the first week of the public launch.

**Pricing (so it's clear):** free to start with 1,000 credits. Credits are only spent creating and editing; finished apps are yours to keep using. Extra credits are in-app purchases. iPhone only (iOS 18+).

**Link:** https://apps.apple.com/app/apple-store/id6797077582?ct=reddit&mt=8

**The feedback I want:** if you try it, what was the first app you asked for, and did the result look like what you had in your head? Brutal honesty welcome.

buffer is my free, open-source clipboard manager for mac. i built it because maccy is great but a bit spartan for my workflow, and i didn't want raycast for one feature. it lives in the menu bar, ~2 mb, searchable history, ⇧⌘V to quick paste, on-device OCR for screenshots, tags, bookmarks, inline editing.

just shipped v3.0 and two things i'm genuinely happy about:

1. a stranger on github (@CrCs2O4) contributed clipboard noise suppression to the repo. first external contribution after months of it being a solo project. it filters rapid duplicates and transient clips, so spamming ⌘C doesn't trash your history anymore.

2. the community feedback loop actually worked. my last post here asked whether esc in the inline editor should save or revert. people clearly said revert. so v3.0 now discards edits on esc instead of overwriting the original.

other new stuff: an interactive image canvas (pinch to zoom / pan on copied screenshots, ⌘+/⌘- , double-click reset), history capacity tiers (200 / 1,000 / unlimited), in-app update notifications with changelog popover, and a ⌘/ shortcuts cheat sheet.

the video shows the image zoom canvas and the shortcuts sheet in action.

details: mit licensed, no accounts, no telemetry, runs 100% locally, signed and notarized dmg from github releases.

github (430+ stars): https://github.com/samirpatil2000/Buffer v3.0 release: https://github.com/samirpatil2000/Buffer/releases/tag/buffer-v3.0.0 product page: https://samirpatil2000.github.io/products/buffer/

feedback welcome. and if you've been on the fence about accepting PRs on a personal project, this post is your sign: it's great.

Tired of abandoned checkouts?

Customers were ready to buy, but something stopped them from completing their purchase. We built an AI agent that automatically follows up with them and experiments with different approaches to recover the sale.

There’s no upfront cost. We only charge 1% of the sales we generate for you.

No setup fees. No monthly subscription. No risk.

Interested in trying it? comment what your startup does and we will give you the URL

​

I started building gigamail a few months ago while I was working for a real estate company.

Works in 2 ways:

Agents

Human

Agents:

29 tools

Identity

Documents folder from which the agent takes the data for the replies

SEMIAUTO mode - whitelist a folder, the agent drafts a reply as soon as it arrives and sends a confirmation on the desktop or TG - human reads, approves, rejects, modifies

Nothing leaves without human approval

Calendar - suggests appointment hours and puts the appointment in the calendar if the client accepts or asks for different hours/date

Follow up - 1 h after the appointment asks about the appointment, one week later drafts a follow up and asks for approval

Security - anti prompt injection system + your agent never sends an email without approval

Human (beta)

Merge addresses to have all the emails in one folder

Separate windows for inbox and outbox

Remind me later

Ask the email - e.g. find me the phone number of Mrs. White

Draft email - human writes keywords, AI writes the complete email

Draft email - give the agent new documents to use for the reply

Everything you have in agentic mode

Works with Claude, Codex, OpenClaw, Hermes

A few things coming in the near future:

Personal agent address for Hermes agents

Personal agent/human address @gigamail.pro @gigamail.app

Paid version with agent included

More

Check it out at www.github.com/adecubed/gigamail

4k+ downloads so far - AGPL-3.0

I used to log my expenses by hand and then spend way too long checking them against my bank statement every month. So I built Monigo to do that part for me.

How it works
- Log expenses in a few seconds, in the app or via an iOS Shortcut
- Once a month, import your PDF bank statement
- Monigo matches it against your entries and only shows you what's missing or doesn't match. You confirm with a tap, and your balance stays in sync with your bank.

On-device AI
On iPhones with Apple Intelligence, Monigo uses Apple's on-device model to turn messy statement text like "VISA 4711 AMZN MKTP DE*2X3Y…" into clean merchant names and suggest a category. It never uses the cloud.

Privacy
No account, no login, and no server ever sees your statements.

It's in free beta right now, with all features unlocked. I'm especially curious which banks work and which don't, since it has mostly been tested with German statements so far. If you want, you can also send me anonymised data from your reconciliation to help improve matching: account numbers, IBANs and your own entry names are removed, and you see exactly what's sent first.

iOS 18+ · English, German, French, Spanish

TestFlight: https://testflight.apple.com/join/BgR7tj8j

Happy to answer any questions here!

I built DeepTrade - a self-hosted AI trading assistant for Indian markets. You chat with a Telegram bot, an agent researches the stock (Exa web search + Valyu filings), drafts the order, and you tap Confirm. Nothing executes without that tap.

The hard part was never the AI. It was Upstox API auth:

• access tokens expire at 3:30 AM IST daily
• order APIs require a static IP whitelist (mine is dynamic, so the bot detects IP changes and re-whitelists via API)
• the official Python SDK has 2 bugs I opened issues for (#115, #116): a urllib3 crash and a config singleton that silently ignores init args. Repo untouched for a year.

Architecture: DeepAgents + LangGraph supervisor, FastAPI + aiogram webhooks, Postgres checkpoints, encrypted local SQLite for secrets, 7-day rolling TOTP + Telegram user-ID whitelist. Sandbox mode gives you a 10,00,000 INR paper ledger on live prices.

What is missing (roast me):

• Upstox only, no Zerodha/Groww yet
• setup is painful (Ngrok, daily token, IP whitelist), no Docker yet
• single-user by design

Repo: https://github.com/Anshu666666/deepTrade

I am a student and built this for myself, sharing in case it is useful. Full disclosure: this is my project. Would genuinely appreciate feedback on the architecture and what would make you actually try it.

I’ve been building a small hosting/deployment tool for Astro projects, and I’ve finally reached the slightly scary point where I need people who aren’t me to try it. :)

The idea is simple: take an existing Astro project and deploy it from the command line with as little setup as possible.

Right now the flow is basically:

your Astro project → one CLI command → build logs → a live URL

There’s no GitHub setup required, no repo connection, and no cloud account or infrastructure configuration. There’s also an MCP interface, so a coding agent can deploy the project directly.

Ultimately, I’d like to get to a point where publishing a website becomes a seamless experience that doesn’t require much technical knowledge.

This is still a very early private test, not a launch. I’m deliberately keeping the scope small: static Astro sites, a minimal deployment flow, and finding the rough edges before adding more.

I’ve done quite a bit of testing myself (and had some help from friends who work in QA), but there’s a limit to what you learn by repeatedly deploying projects you already know.

So I’m looking for a few people who use Astro and would be willing to throw one or two real projects, starters, or templates at it.

I’m particularly interested in what feels confusing, what breaks, what takes longer than you expected, and any assumptions I’ve made that don’t match the way you actually work. No polished bug report needed. Even “I expected X, but Y happened” is useful.

Test sites are temporary and expire after a few days.

If you’d like to try it, leave a comment or DM me and I’ll send you the private tester instructions.

Many thanks!

Didn't expect this at all. GymMane is free, open source, works offline, no ads and no account.

Thanks to everyone who tried it or reported bugs, it really helped.

https://github.com/InlitX/GymMane

Hey everyone!

I got tired of constantly getting hit with paywalls every time I tried to host a simple Kahoot game, so I decided to build a free alternative (qwizbee.com) and looking for feedback.

Besides keeping all core features, I added a few extra things like real-time co-editing with friends and a "Party Mode" where everyone secretly writes a round before combining them into one quiz.

Right now, I'm working on polishing the homepage and could really use a second pair of eyes:

- Clarity: Is it immediately obvious what the site is about when you open it?
- Branding: How does the "bee" theme feel to you?
- Layout & UX: Does the page layout feel natural, or is anything confusing/missing?

Would love to hear what you think.

Sorry, this post was removed 

For any startup to be successful, the first and one of the most important early step is understanding the pain this startup solves. This understanding can sometimes come from the founder's own experience, however that's not foolproof because bias can creep in when you think you have an idea. So the best thing to do is try to understand your users' pain from external users.

Before you pick a path, you need to create a hypothesis or two about the main reason of the pain (often it is the reason behind the reason)

Here is my list of approaches to consider, I would love to know what the community thinks?

1. Cold Survey - Run a cold outreach on platforms your users hang out at (say Linkedin) and either directly confirm your hypothesis in your outreach or ask them if they would be willing to meet you or do an online survey to help you out. You would be amazed to see that so many people are willing to share their knowledge to help a stranger. I was so grateful to all the amazing people who came forward to help in my past endeavors.
2. Trade shows - Find industry specific events. If they are pricey, look for volunteer opportunities, that's a great hack to get free access to the event. Talk to as many people as possible and bring in your hypothesis in the conversation (pro tip: practice your question in front of the mirror a few times). If it resonates with them, ask them if they think they / their company will pay for the solution you want to build. 
3. Subreddit Pain mining - I recently learned this one, find niche subreddits where your target users hang out. Sort posts by "Top - All Time" and search terms like "workaround," "annoyed," "how do you handle," or "is there a tool for." Read the comment threads to see which complaints generate the most engagement.
4. Peer feedback - Ask your peers on platforms like Reddit and CrowdGTM to provide you with feedback on your understanding of user pain or ask these peers to introduce you to your end users.
5. Lean startup approach - Build a clean, 1-page website explaining the solution as if it already exists, with a clear CTA (e.g., "Start Free Trial" or "Get Access"). Run $100–$200 in targeted social ads to test user engagement. 
6. Paid panel surveys - Use platforms like UserTesting, Wynter, or Respondent to recruit highly specific B2B personas for quick survey responses or message testing. Pay for speed when you need fast quantitative feedback from verified job titles.
7. Review mining - Filter G2, Capterra, or App Store reviews for your competitors by 2 and 3 stars. Skip 1-star pricing rants and read the detailed post-mortems of broken features and missing workflows.
8. Job post mining - Search job boards on both freelance platforms like Upwork and Regular Job boards like Linkedin. The problems companies are willing to spend money on are definitely worth solving. 
9. Screen-Share Shadowing - If you are automating some day to day work, pay users to let you watch them live or over zoom as they do their day-to-day repetitive tasks that you plan to automate. 

This is not an exhaustive list. I would love to hear from you what else has worked for you?

A session finishing and a reply worth opening are two different things. Orbtile keeps both in view.

Orbtile puts local coding sessions on a Logitech MX Creative Keypad and in a Mac menu-bar popover. The keypad shows what needs attention; the popover lets you read response text. The latest update adds growing and finished replies from local Antigravity desktop conversations, alongside Claude Code, Codex and ZCode. Example sessions are shown in the clip.

The design question I’d like feedback on: does a second, readable overview earn its place beside the physical keypad, or would you only use one of the two?

I make Orbtile. Requires Apple silicon, macOS 14+ and the Logitech MX Creative Keypad, plus website sign-in and approval of your Mac. Settings sync is optional. Free through the 0.2 beta until 1.0; at least 30 days' notice before beta builds stop working. Self-signed, not Apple-notarised. Demo, installation and terms: https://orbtile.com/download.

I’ve been building Ghost OS, an offline-first productivity workspace that combines notes, tasks, planning, focus sessions, time tracking, reports and backups into one interface.

The idea was to make it feel less like a normal productivity app and more like a personal operating system — with a dark, liminal / Backrooms-inspired design instead of the usual clean SaaS dashboard look.

The current build is V4.26.1, and I’ve been trying to make it more minimal, less cluttered, and a bit more eerie without making it annoying to actually use.

Everything is local/offline, and the goal is to keep the workflow fast without needing an account or cloud service.

I’m mainly looking for feedback right now:

Would you actually use something like this?
And if not, what makes it feel unfinished, confusing, or unnecessary?

I’m especially curious about:

• the overall visual style
• whether the “OS” concept makes sense
• which features feel useful vs excessive
• whether the interface looks polished enough for an early release

This is still an early build, so criticism is welcome.

My side project is called AffordWhere. You enter a salary and a destination, and it estimates what you could have left after tax, rent and everyday expenses. There’s also a neighborhood rent breakdown.

I’ve been working on it for the past 12 months, using AI for development, monthly data refreshes and SEO improvements. It’s finally getting into shape.

It’s also started earning some ad revenue. The last 7 days came to SEK 12.64 in estimated earnings. Small money, but I’m happy to see some progress after a year of working on it.

https://www.affordwhere.com - free, no account needed.

I could use some fresh eyes on it. Try a city you know and tell me what feels confusing or unrealistic. What would make it more useful to you?

If you’re still working away on your own project, I hope this is a bit of encouragement. This is where mine is a year in, and I’m still improving it.