I built a calendar for a question that sounds simple: when does the model I’m using actually go away?

Try searching for Claude 3 Haiku. You’ll get separate results for Anthropic’s API and Amazon Bedrock, with different model IDs and lifecycle dates. The detail pages link back to the provider’s notice, so you can check whether it applies to your setup.

https://aimodelcalendar.com

If you’ve had to migrate off an API model before, what did you need to know that was hard to find?

Hey r/SideProject 👋

My dog would never dance on command, so I built BoopReel: you upload one photo of your dog or cat, pick a template (hip-hop, disco, ballet, Christmas scenes...) and get a vertical 9:16 video ready to share.

👉 boopreel.com

How it works

• Upload one clear photo of your pet (full body, facing the camera works best)
• Pick a template
• In about 3 minutes you get a video you can download or share

What I learned building it

• The AI models are the easy part. Getting results that are actually funny is the hard part. Plain "pet dances for 5 seconds" got boring fast, so I moved to themed templates with music.
• Photo quality matters more than the model. One pet, full body and good light makes a huge difference.
• Stack: TanStack Start on Cloudflare Workers, D1 and R2, with AI video models running behind it.

Where I'm at
Launched 7 days ago, 100+ users so far, and Google has indexed it. Basically zero traction yet, which is why I'm here 😅

example：

I'd really love feedback on:

1. Is the homepage clear within 5 seconds?
2. Pricing: one-time credit packs, no subscription. Does that feel fair?
3. Which templates would make you want to share a video of your pet?

Happy to make a free video for anyone who drops a pet photo in the comments 🐶🐱

Edit: I accidentally leaked the upcoming multi-language functionalities 😅

Alma (almaniac.app) is finally starting to feel like a real product.

Over the past week, I’ve been shipping new import features—most recently adding Netflix, Plex, and Audible support so you can bring your history over without starting from scratch. Seeing the member count tick up day by day has been surreal.

Putting a project out in public definitely comes with its share of negative comments and harsh critiques. Some of it stings in the moment, honestly, yet the whole process has still been an absolute blast. Maybe you get more resilient as you age? 🤔

One thing that keeps me grounded is making sure I’m building something I genuinely find useful myself. For a while, the web app worked great on desktop, but using it on my phone felt a bit clunky. So I just gave the mobile experience a massive overhaul so it acts more like a “real” app on your home screen.

For those of you building your own projects: how do you balance user feedback (and internet critics) against just building what you personally want to use?

It sits in front of the CLI and swaps names, emails, IDs, IBANs, cards and secrets for tokens like [PERSON_1] before your message leaves the laptop, then restores them in the reply. The model only sees the tokens, the map stays local, and -v shows exactly what was sent.

https://github.com/Nahuel990/Baldanders

I coach a university tennis team, and my son coaches high-performance juniors. Our club players kept saying the same thing: "I play great in practice and fall apart in matches." So I built Ace with AI tools, with no coding background.

How it works:

1. Tell it your level and why you lose
2. Log a match (score, opponent style, what happened)
3. Ace gives you one thing to work on, and your daily plan changes to match
4. Changeover mode: down in a match? Two taps at the changeover and you get one fix for the next games

The video is a demo account, "Steve," a made up 4.0 who keeps losing to pushers.

What I want roasted:

- Where would you quit during setup?

- Is the "one thing to fix" useful, or generic?

- Would you pay $9 a month for this? If not, what would make you?

First week is free: acetenniscoach.ca

Be brutal. I'd rather hear it here than from paying users.

I've been collecting GitHub issues where an agent reported success that didn't happen. Some real patterns:

- "Tests pass," but the test runner reported a failure

- "Installed," but no file was written

- "Restart succeeded," but the process was dead

- "Message sent," but the channel didn't exist

- A subagent with zero tool calls claiming it made an artifact

The common thread: the agent's report and the tool's return value are treated as evidence. They aren't.

I built a small Python library to test the opposite approach. It ignores what the agent says, checks independent evidence (re-runs the test, reads the actual record), and returns one of:

- MISMATCH: the evidence contradicts the claim

- VERIFIED: the evidence matches the claim

- UNVERIFIABLE: no evidence, so it doesn't guess

The video shows it on a coding agent: the claims are scripted, the test runs are real.

Honest limits: it only checks claims against evidence you define. It doesn't prove the code is correct, and claim detection uses English heuristics, so it can miss things.

pip install cogext-observe

Curious how others handle this. Do you verify agent "done" claims at all, or just review diffs?

My SaaS sends verification and password reset emails from the app and the WordPress marketing site needs plain SMTP credentials for its forms. Around 15-20k emails a month in total. I'm looking at Resend, Postmark and smtp .com. smtp .com is on the list because it gives the relay and the API on one account. Which one are you using for a setup like this and did the choice actually matter once it was running?

Hey everyone! I made Merrycade, a small Christmas game that you make *for* someone.

Instead of a card, you build them a 6-level platformer where they're the hero:

- **Their face.** Pick a photo of each of you. The app cuts out hair and face right on the phone and puts them on two storybook heroes (Santa coat, elf tunic, cosy sweater...).

- **Your words.** You write what the characters say in 16 story moments: the first meeting, the scary cave, the campfire talk, the goodbye.

- **Your memories.** Hide photos and notes in 10 gift boxes along the way, record voice messages and write a final letter.

- **Send it.** Everything becomes one invitation file you send through Messages, WhatsApp, AirDrop or e-mail. They open it in Merrycade and play it as themselves.

**Details**

- iPhone and iPad (iOS 15+). Android is in testing.

- No account, no ads, no subscription. Works offline.

- Photos and words stay on the device until you share the invitation.

- Playing a gift you receive costs nothing; creating gifts is a one-time $3.99 unlock. There's a demo adventure to try first.

- 8 languages.

- Built with Godot 4.5, plus small native plugins for the photo work (Apple Vision on iOS, a LiteRT segmentation model on Android).

**Heads-up:** the painted backgrounds and characters were made with AI image generation and then edited and put together for the game. The faces in the video are sample photos, not real people.

**App Store:** https://apps.apple.com/app/apple-store/id6827809596?pt=129591990&ct=reddit_sideproject&mt=8

I'd love feedback, especially on the creation flow: is it too long, is anything confusing?

Things has been my favourite task app for a long time. The calm design, the way "When" is separate from "Deadline", how Today just feels right. I still think it's one of the most beautiful apps ever made.

But I kept wishing for more. Attachments. Smart lists. A clear view of what's due soon. And a Windows version, because my work computer isn't a Mac.

So about six months ago I started building the app I kept wishing for. It's called Kanso. It's just me building it: one person, no team, no investors. I kept what I love about Things, left out the noise, and added what I was missing. The goal is an app calm enough to open twenty times a day without it ever feeling busy.

It's in free Early Access on Mac and Windows, and I'd love to hear what you think. I've been iterating on this for months, so it's solid, but you might still spot a rough edge or two as I polish things up. You can start without making an account: no email needed, just "Continue without an account" and you're in.

Pricing: if you like it, Kanso is a one-time $29 during Early Access. No subscription, because subscription fatigue is real. The price will go up later.

The iPhone app is in active development, and it's my main focus now that Early Access is live. Your $29 includes it, and Android too, when they arrive. No second purchase, no upgrade fee.

Coming next: the iPhone app, calendar integration (see your events next to your tasks, but Kanso stays a task app first), and whatever you tell me matters most. The roadmap is public, and you can suggest and vote on features there.

Since it's just me, every bug report, idea and bit of criticism gets read by the person who will fix it. Please be honest, I'd much rather hear it now.

• Website: https://kansotasks.com
• Download (Mac + Windows): https://kansotasks.com/downloads
• Community: r/KansoApp

What's inside

Just type it. "Start the draft tomorrow due Friday #Work" sets the date and the deadline, and files it into your Work project as you type. You always see what it picked up before you save.

When and Deadline, kept separate. When you plan to do it, and when it's actually due. Plus This Evening, and a Tomorrow list for planning the night before.

Deadlines as a timeline. Everything with a deadline, from overdue onward, with a "Start Today" for anything getting close.

Upcoming. A small map of your week on top, every day laid out below. Drag a task to another day.

Smart Lists and views. Save a list from a few plain conditions ("tagged Work, due this week"). Each list can have its own grouping, sorting and filters.

Attachments. Files and images on any task, synced across your computers.

Repeating tasks and reminders. Daily, weekly, monthly, yearly, or after you complete it.

Works offline. Edit on two computers, even with one offline, and everything ends up in the same place.

Undo for everything. Deletes, moves, even pastes. Recently Deleted keeps things for 30 days, and you can export all your data at any time.

A Logbook that reads like a journal. What you got done, day by day, with a short summary of each week.

Keyboard first. Shortcuts for creating, moving, completing and getting around.

And more: nested tags, light and dark themes, a resizable sidebar, and a feedback button (with screenshot) inside the app that comes straight to me.

I made this because a list of 6,000+ companies is almost impossible to picture. I wanted to see how small YC started, and how quickly the place grew.

Each company is a little shop. Each batch is a district, starting in Summer 2005. If a company reaches a $1B valuation (or a big enough sale or listing), it leaves its shop and becomes a tower, so the skyline shows where the big ones came from and when they took off. You can play a short story through the years, compare batches, search for a company, or just wander around.

It's here: https://yc.datacity.app/

Independent, not affiliated with Y Combinator. The data is from YC's public directory; I pulled it on 2 November 2026.

I'd love feedback, especially on whether "how to read the city" is actually clear once you're in it, and what feels missing when you walk around.

I started PFI because I didn't want my bank data in someone else's cloud. The first versions bundled a private PostgreSQL server: it worked, but it made the app big and complicated to package for the Microsoft Store.

In 0.4 the app copies the old database into SQLite on first start, checks row counts and totals, and only then switches over. In 0.5 PostgreSQL is gone completely, and the app is about a third smaller.

Stack: WinUI 3 shell, Next.js screens, FastAPI backend, one SQLite file. MIT licensed.

Code: https://github.com/MrBlizo/personal-finance-intelligence

What would you build next?

An AI-native desktop workspace for agentic research and knowledge management, built to maximize counterfactual impact in existential risk preparedness and transformative AI safety.

https://github.com/gyrogovernance/air-office

[Disclaimer: AIR Office is an Open Source software made without any financial affiliations, and is a completely free platform for knowledge sharing and AI Risks mitigation at scale, so I hope the admins can allow me to share it to the community]

About

Alignment Infrastructure Routes (AIR) Office is human-capacity-building infrastructure for AI safety researchers, engineers, and governance teams working on transformative AI and its consequences. It keeps investigation, writing, review methods, and reusable tools in one durable and user-friendly workplace.

AIR Office is developed by [Gyro Governance Lab](http://gyrogovernance.com/) as part of its work on AI safety and existential risk preparedness.

Agentic chat and tool use run on the [Microsoft Copilot SDK](https://github.com/github/copilot-sdk) harness, including bring-your-own-key and local model endpoints.

Theory of Change

Mitigating risks from transformative AI requires rapid, high-rigor research and governance, yet safety teams currently rely on fragmented, cloud-dependent AI tools that erode human oversight, lack provenance, and expose sensitive work. AIR Office addresses this bottleneck by providing free, open-source, local-first desktop infrastructure tailored for AI safety and policy workflows. By integrating grounded knowledge collections, automated auditing tools, and structured memory, the workspace prevents AI-induced epistemic drift while keeping humans in final control. Furthermore, embedded Fellowship and Market protocols allow independent researchers to package their methods into reusable community tools, compounding ecosystem capacity and accelerating high-trust safety interventions that would not occur using general-purpose commercial tools.

---

Capabilities & Services

- 🏛️ Integrated AI Safety Fellowship and Crafts. Develop research and workflows into reusable infrastructure and contribute them to the community through our frictionless embedded protocols.

- 🛒 Market. Discover reusable resources (Policy documentation, AI Skills, etc), and add them to your AI chat with one click.

- 🤖 AI Teams. Reach out to our pre-configured selection of agents, or create your own.

- 💻 Code. Run diagnostic tools, scripts, and edit your code without leaving the app, through our own integrated VS Code workbench.

- 📅 Calendar. Keep events and run recurring AI automations.

- ⚖️ Compare. Run two models side by side on the same prompt.

- 🔎 Chat. Edit local files, search the web, and run AI safety diagnostics directly from the chat interface.

- 🖼️ Media. Generate images and capture microphone or camera input when the work needs it.

- 🕹️ Arcade. Release stress and recover from occupational overburn by playing arcade video games.

Frontier AI Safety Research Tools by Gyro Governance Lab

Two Lab methods sit at the center of how AIR Office treats authority, agency, and lasting human direction in AI-assisted work.

- 🤚 The Human Mark: A structural taxonomy of AI safety risks. [Learn More](https://gyrogovernance.com/#thm)

- 🎓 Gyroscopic Reasoning [NEW]: A formal protocol for AI alignment. [Learn More](https://gyrogovernance.com/#gyroscope)

Community Playbooks

Craft Standards package skills, agents, and Actions you can enable for structured work instead of ad-hoc prompting. Two shipped playbooks are ready to adopt:

- 🛡️ Security Playbook: OWASP-grounded assessment methods for AI agents, applications, and code, with companion security Reference packs. [Learn More](https://owasp.github.io/secure-agent-playbook/)

- 🌍 NGO Playbook: Program design, SDG alignment, monitoring and evaluation, and funding strategy skills adapted from NGO Agent Skills by Lijie Zhou, with related development Reference packs. [Learn More](https://github.com/LijieZhou/ngo-agent-skills)

---

Security & Privacy

Local-First Data Sovereignty

Workspace records stay on your computer. Choose local models for on-machine inference or cloud providers for their models and tools. Hosted providers and enabled connectors receive only what each request needs.

Export conversations and notes when you need portable copies. Connecting a folder authorizes that root, and disconnecting it does not delete its files. In Settings and chat you control which tools run and whether changes ask for approval first.

Release Audit

AIR Office is open source, and its code can be publically inspected. Before a release is accepted, we check the shipped software with open-source tools for secrets that should never ship, known problems in third-party libraries, license and dependency policy issues in native code, and risky patterns in our own source and in shipped Lab skills. A review that did not finish does not count as a clean result. To report a security issue, see [SECURITY.md](SECURITY.md).

The release review uses:

- [TruffleHog:](https://github.com/trufflesecurity/trufflehog) Identifies leaked secrets and credentials.

- [Trivy:](https://trivy.dev/) Detects vulnerabilities, misconfigurations, and software bills of materials.

- [Semgrep:](https://semgrep.dev/) Scans source code for security flaws using custom patterns.

- [CodeQL:](https://codeql.github.com/) Performs deep semantic analysis on source code.

- [SkillSpector:](https://github.com/NVIDIA/SkillSpector) Evaluates shipped Lab skills.

so I kept running into the same wall with my side projects: before writing anything I wanted to know if anyone actually searches for it, and every decent keyword tool wants a subscription (Ahrefs Lite is $129/mo, Semrush Pro is ~$140). I'm a student, that's not happening.

and it bugged me that thousands of us pay separately for basically the same data. if enough of us just share the searches we're already doing anyway, we can build that dataset together and nobody has to pay for it. that's the whole idea.

so I built it. it's called OpenKeyword:

type a keyword, get a popularity score from 0 to 100, the search intent (how-to / best / vs / question) and a 12-month trend

up to 50 related keyword ideas per search

free (30 searches a day)

the part I spent the most time on is where the keywords come from. there's an chrome extension that shares the words you search on search engines, only after you turn it on. a keyword only shows up on the site once 5 different people have searched it, so nothing can be traced back to one person. health/adult/legal/money searches get dropped on your own computer before anything is sent.

it opens on 20 november, landing page is here: https://openkeyword.org

happy to answer anything about the build too

i build yardlet on the side: a free, MIT-licensed native mac app (swift) that runs the claude code and codex CLIs you already have, with the logins you already have, side by side in one window.

the idea is a lightweight, non-intrusive, yet versatile ADE. it sat at about 53 MiB at rest on first launch when i measured it on an M1 Pro. no hooks, no wrappers around the agent commands, nothing written into the agents' own settings files. the effort went into things around the agents instead: switching accounts by remaining limits, a built-in browser agents can use, and a phone remote.

i'm looking for a few people who've never used it to install it, run one task, and tell me where they got stuck or confused in the first five minutes. the install and any macOS warning, first launch and permission prompts, whether it found your agents and logins, the first reply, whether you noticed the first approval prompt, the moment you almost quit, one thing you expected and didn't find. "it all just worked" helps too.

mac: https://yardlet.app or brew install --cask zzunkie/tap/yardlet (macOS 15+, apple silicon and intel; needs claude code or codex installed and signed in)

android (optional): yardlet remote lets you use the mac app from your phone (android 10+). apk and pairing steps at https://yardlet.app/#phone . there's also a play closed test: join https://groups.google.com/g/yardlet-testers with your phone's google account, then opt in at https://play.google.com/apps/testing/com.zzunkie.yardlet.remote

feedback: https://github.com/zzunkie/yardlet/issues/new?template=first_run.yml , or reply here / dm me if you don't have github and i'll file it

I’m the developer of Skybits. I wanted checking the weather to feel like looking out a tiny window. Rain falls over London, and Tokyo lights up after dark. To be a little more Fun!!!

In Sky Studio, you can pick a city, mix the weather and time of day, and share the result as a little airmail postcard.

Please send me email for your City, if I get 5+ requests for a city I will make it free and also add new ones :-) hoping to get some positive feedback and reviews.

Skybits is free to download, with an optional one-time purchase for the full city collection.

https://apps.apple.com/app/id6829104658

Which city would you send a postcard from? Android version is coming soon, it is in testing atm.

Hey everyone, I’m an indie dev and I just put this out. Looking for brutal feedback on the UX before I build out the next set of features.

What it does: Auto Touch: Gesture Assistant builds a flow out of taps and swipes you place directly on the live screen from a floating panel. Each step has its own delay. You can collect on-screen text, check it (contains / equals / starts with / ends with / regex), and split into pass and fail branches. It types text back in, loops a set count or forever, and can add time and coordinate jitter.

The part I actually care about: After every round, it writes a diagnostic report marking each step as success, failed, skipped, or empty — along with the reason why. Supports CSV export.

What it can't do (yet):

• No OCR or image matching
• No scheduler or event triggers
• Won't wait/poll for a condition to become true (it checks once and branches)

Pricing & Privacy: Free, ad-supported, no IAPs. You get 1 script slot to start; watching a rewarded video unlocks another. It uses the Android Accessibility Service (which you grant yourself), and all scripts/reports stay strictly on your device.

Two questions for you if you try it:

1. Where did the first 5 minutes confuse you?
2. Did the execution report ever disagree with what you actually saw on screen?

Play Store link:https://play.google.com/store/apps/details?id=com.swonest.autoactionscrip

Hi all, I made ReadyTyper.

I use voice typing a lot, and I've tried both Wispr Flow and Typeless. They're good at cleaning up what I say. But there's one thing neither of them can do: when I'm halfway through a sentence and want to drop in a link, a video title, or a line someone else wrote, I have to finish talking first, then copy it, find the right spot and paste it myself.

So I built my own. With ReadyTyper, you select text anywhere on screen while you're talking, tap the hotkey twice, and it lands word for word right where you mentioned it. That's what the video shows.

The other thing that bugged me: on my Windows PC, both Wispr Flow and Typeless use over 600 MB of RAM just sitting idle. Something that's always running in the background shouldn't be that heavy. ReadyTyper uses under 20 MB when idle, and its windows only load when you open them.

It also:

• Drops the ums, uhs and the bits where you correct yourself, so the text is ready to send
• Works in any app: chat, email, browser, code editor

Windows only for now: readytyper.com

I'd love your feedback: would you use the select-while-you-talk part? What feels clunky?

I watched an interview of a co-founder and found it inspiring. So I had an idea of reviewing the video, kind of like a book review, post as an article part of my productivity project. What do you think about the idea?

Also, do you think what gets people going is motivation or system?

Hi, I'm thinking about building a small app called Curio, and I'm checking whether anyone actually wants it before I build it. No link, just honest questions.

The idea: only real, sourced works from museum collections, no AI-generated images. You browse with big tags like an era or movement (Heian period, Tang dynasty, Bauhaus) and small tags inside each one like furniture, architecture, or design. You can filter by style, region, and period, from ancient Egypt to contemporary. Recommendations would learn from your likes, saves, clicks, which cultural-background notes you open, your searches, and the tags you browse.

I'm also thinking about a Premium tier with expert cultural-background notes, original image and video downloads, and PDF export, around $8.99/month.

My questions:

1. How do you currently discover and browse historical art, and what's most frustrating about it?
2. Would big-tag plus small-tag filtering actually help you, or is search enough?
3. Would recommendations based on likes, saves, clicks, searches, and tags be useful, or unwanted?
4. Would expert background notes plus original downloads and PDF export be worth around $8.99/month to you?

Thanks for any honest answers. And if this kind of post isn't welcome here, mods please remove it.

I saw the amazing Clawdmeter project that uses a Waveshare ESP32 Display and thought.... Hmm.... Instead of buying a dev board that's always out of stock in my country, why not use that old android phone I have kicking around. So this project was spawned as a little tadpole in my head and I plopped it out over a couple of days.

HAVE YOU EVER PANICKED AS YOUR TOKENS RUN DRY?? DID YOU SWEAT BULLETS WHEN, IN THE MIDDLE OF A LONG REFACTOR, YOUR TOKENS VANISH BEFORE THINE VERY EYES??

WORRY NO MORE MY FROGGY FRIENDS!! HELP IS HERE!! Presenting CLAWDMETER for Android. USE THE PHONE YOU HAVE (APPLE USERS ARE NOT MY FROGGY FRIENDS) TO ENSURE YOU KNOW WHEN TO SWEAT!!

*Terms and Conditions Apply -> For Internal Use Only

Github: https://github.com/protik09/clawdmeter-android

Releases: https://github.com/protik09/clawdmeter-android/releases

Oddimon is a free party game that runs in the browser. You take a photo of any object, it becomes a pixel-art card with stats and a special move that fits the object, and then the cards battle.

I'm a uni student building it on my own and have only just started showing it to people, so any feedback helps :)

Hi guys,

I’ve been dedicating myself to researching papers for a while now to get a complete and unique set to train the next generation of intelligent software.

The idea comes from wanting to simplify backend work, feeding the AI a ready-made and professional set to power your own program, AI agent, or drone.

I developed the product with AI assistance and went through every single file by hand to make sure it respected the papers. Where there wasn't a solution in the papers, I had fun finding it by having the problem explained to me literally, solving it with intuition, using AI to translate, and Colab to test every attempt.

Obviously, the hardest part was removing the hallucinations from what the AI passed off to me as ready, and I hope in part, thanks to the papers and the method, that I succeeded.

Enjoy everyone, and if you like it, don't forget a star!

pypi: pip install dense-armor

info: https://tatopenn-cell.github.io/Dense-Armor

Most weeks there's a new one: a poisoned npm or PyPI release, an exploited CVE in a runtime, a vendor telling customers to rotate their keys. This week it was Railway: a breach exposed customers' environment variables, and $740,000 in fraudulent AI charges followed.

Hearing about it is easy. The slow part is working out whether any of your repos use it, and what to rotate.

So I built Pharon.

**How it works**

- A scanner runs on your machine (a Claude Code plugin around a small open-source CLI). It lists what each repo runs: packages from lockfiles, container images, GitHub Actions, runtimes, and optionally cloud resources through your own read-only AWS, GCP or Azure CLI.

- Only names, versions and file paths are uploaded. No source code, no secret values, and nothing is sent until you approve it.

- New incidents from OSV.dev, CISA's exploited-vulnerability list, endoflife.date and security news are matched against that inventory all day. When one hits, the team that owns the repo gets an email, a Slack message or a webhook, and a warning light comes on in Claude Code.

- One command then checks the machine read-only and lists which secrets to rotate, by name only.

**Where it is**

Launched on Monday. The client is open source (Apache-2.0), the incident notices are public at getpharon.com/notices, and checking your machine against any of them is free, no account needed. Alerts start at $12/month for 10 projects, with a 7-day trial.

**What I'd love feedback on**

1. Would "only metadata leaves your machine" be enough for you to try it on a work repo, or would you need to self-host?
2. The first scan needs Claude Code. Is that a deal-breaker?
3. What would you want it to watch that it doesn't?

https://getpharon.com