Been working on this for a couple months. It's called Project Parva, basically an API that computes Nepali calendar stuff (BS/AD conversion, festival dates, panchanga, muhurta) using real planetary position data from Swiss Ephemeris rather than storing hardcoded dates someone typed in from a government PDF.

The main thing that bothered me about existing stuff is they all assume Kathmandu. If you're building something for diaspora users, the sunrise-dependent calculations (tithi, muhurta windows) are just wrong for anyone outside KTM. This one takes actual lat/lon.

Verified against 65 dates from MoHA holiday PDFs across 2080-2082, passes all of them.

Here's my project,
GitHub: https://github.com/dantwoashim/Project_Parva

reddit seems to flag the direct link to the API

 (AGPL, open source)
Happy to answer questions or take feedback on what's missing.

I've been working on an idea for the last month — what if we treat AI agents like real co-workers? You talk to them, they talk to each other, and everyone shares a drive to exchange files. Like a real office, but with agents.

I built the first version and it's been working surprisingly well. I have a team dedicated to building and maintaining a website: product manager, frontend dev, designer, and SEO specialist. They maintain the code, design, and SEO. If I want a straightforward change, I talk to the frontend dev. If I want a whole new feature, I talk to the product manager and he coordinates with the rest of the team to build and ship it. They have all the context from previous sessions — no starting from scratch every time.

I set it up for my wife and she built a team of agents to manage her trading — screener, back-tester, analyst. Now she can't stop playing with it.

That's why I decided to open source it — Shire. I want to see if others find this as useful as we do.

With Shire:

• You build a dedicated agent team for each project — they're long-lived and have their own filesystem
• Agents communicate with each other directly. No orchestrator, no fixed workflow — collaboration happens naturally
• You can schedule tasks so agents run on autopilot
• Run it locally or on any machine
• Works with Claude Code, Pi Agent, and OpenCode — so you can bring your preferred model

npm install -g agents-shire — single command install.

Any feedback, comments, and stars welcome:

Github: https://github.com/victor36max/shire

Homepage: https://agents-shire.sh

Hey everyone,

I just made a free beginner guide for AI OFM that covers how to actually get started from scratch. I noticed a lot of people are confused at the beginning, so I tried to simplify things and make it practical.

This guide should help you understand the basics and take your first steps without overcomplicating it.

I’ll be posting more guides soon going deeper into strategy, growth, and scaling.

If you get stuck or need help, feel free to let me know I’ll try to help where I can.

Also, we’re opening a Discord community, and the first 20 people can join for free where we go more in depth and help each other out.

Appreciate any feedback 🙌

Over the last year I've worked with SaaS companies trying to use YouTube as a customer acquisition channel. Not brand content, not "thought leadership", actual pipeline generation from YouTube search.

Every single one made the same mistake before they came to us. And it's the same mistake I see repeated in every "how to grow on YouTube" guide written for businesses.

The mistake: they picked video topics the way they pick blog topics.

They'd find high-volume keywords in their space, make videos on those topics, and expect the same content-to-lead pipeline they get from SEO blog posts.

It doesn't work because YouTube search behavior is fundamentally different from Google search behavior.

• On Google, someone searching "best project management software" is often in evaluation mode, they'll read 3 comparison articles and maybe sign up for a trial. 
• On YouTube, that same query surfaces a mix of tutorial content, creator reviews, and entertainment. The person watching might be evaluating, or they might just be killing time watching software reviews for fun.

The queries that actually convert on YouTube are more specific and more action-oriented:

• "How to set up [competitor] for [specific workflow]" → they're implementing something and might switch if yours is easier
• "[Your category] for [specific use case]" → they're searching for a solution to a defined problem
• "[Competitor A] vs [Competitor B] for [job to be done]" → they're in active comparison mode
• These get 1/10th the search volume of the broad queries. But the people watching are 10x more likely to have a problem your product actually solves.

The shift that changes everything:

• Stop optimizing for YouTube volume. 
• Start optimizing for buyer intent behind the query.

So what did we do? We built some free tools around this because we got tired of explaining it on calls:

• One that scores your existing videos on buyer intent (not just "SEO")
• One that generates video ideas starting from your product and ideal customer, not from search volume
• One that tells you if a video idea will attract buyers or viewers before you produce it

They're at sellontube.com/tools if anyone wants to try them.
No signup, no email gate.

The bigger point: if you're a SaaS company where a single customer is worth $1k+ annually, YouTube search is probably the highest-leverage acquisition channel you're not using. But only if you target the right queries.

Happy to go deeper on any of this, especially around how to find buyer-intent queries in specific SaaS verticals.

Hey guys!

As you may know, the job market is super competitive right now. The number of applications for a job could be 1 over hundreds or thousands of people. If you guys want to land your dream role, you have to spend hours searching for jobs, preparing your applications, and applying to as many as you can. This does not even include time you spend leveling up yourself, learning something new, or building projects.

The learning path is mandatory; you can't take the shortcut. I understand.

However, you can save hours a day looking for jobs, updating resumes, and applying to them. If that sounds like you, then check out this new product I just built.

The idea behind my product is simple. When I apply for jobs, I normally read the job description, tailor my resume to match it, write a cover letter, then submit all of them with my info details. The process seems to be fast, but when it comes to 10 to 20 applications per day (or even more), I just can't do it.

That's when I knew I had to build something to remove the manual work completely for me.

And Resumie was born!

Resumie is built for SWE. It helps generate multiple job-matching resumes in seconds. Just need to copy paste the job description, input personal data, add GitHub repos and LinkedIn, then Resumie does the rest.

Resumie scans everything to build a new tailored resume for each job:

• ATS friendly
• Harvard style
• Include your best projects, what you did, what has been achieved, etc.
• Professional working experience, focusing on XYZ template (Accomplished [X] as measured by [Y], by doing [Z])
• Technical skills match job description

Resumie is built to speed up the application process while maintaining the best possible resume output, instead of bringing only a single resume for all job positions.

Feel free to give it a try and return here with some feedback. It's FREE and I just keep a limit on the number of resume generations.

Here's the link for you to try: Resumie

Side project I've been working on: The Reddit Money Digest.

The idea came from noticing that the best personal finance insights on Reddit are always buried — either 800 comments deep, or drowned out by advice that's technically correct but missing crucial nuance. Meanwhile bad advice gets upvoted because it sounds confident.

So every Sunday I go through r/personalfinance, r/investing, and r/financialindependence, find the 3 most interesting discussions, and write up:

• What the crowd got right
• What they missed
• Which viral advice was actually dangerous (Red Flag of the Week)

This week's issue covered the wave of "should I pause my 401k because of tariffs?" posts, the emergency fund milestone thread that hit 12k upvotes, and the never-ending avalanche vs. snowball debate.

It's free, no paywall. Built it because I wanted to read it and it didn't exist.

→ Issue #001

Happy to talk about the build, the content format, or the Substack setup if anyone's curious.

Hit the 75 day mark today. 25 projects left.

Day 75 was ESP-NOW + RFID — one ESP8266 scans a card and wirelessly sends the UID to a second ESP8266 which displays it on OLED. No WiFi, no broker, direct peer-to-peer.

Some highlights from the past 75 days:

ESP-NOW series — built a complete wireless ecosystem from basic LED control to bidirectional relay and sensor systems to today's wireless RFID display.

micropidash — open source MicroPython library on PyPI that serves a real-time web dashboard directly from ESP32 or Pico W. No external server needed.

microclawup — AI powered ESP32 GPIO controller using Groq AI and Telegram. Natural language commands over Telegram control real GPIO pins.

Wi-Fi 4WD Robot Car — browser controlled robot car using ESP32 and dual L298N drivers. No app needed, just open a browser.

Smart Security System — motion triggered keypad security system with email alerts via Favoriot IoT platform.

Everything is open source, step-by-step documented, and free for students.

Repo: https://github.com/kritishmohapatra/100_Days_100_IoT_Projects

GitHub Sponsors: https://github.com/sponsors/kritishmohapatra

I've been working on Keel for the past few months. It's a mental wellness app.

The idea is simple. Most wellness apps are great at collecting data but pretty terrible at doing anything useful with it. Keel tracks your daily check-ins, mood, sleep, energy and journals, then uses AI to actually connect the dots and surface patterns you wouldn't spot yourself.

A few things that make it different:

- AI sessions that remember your history and adapt over time
- Guided breathing & grounding exercises with audio
- Structured programmes (anxiety, sleep, stress, etc.)
- Premium insights like burnout risk detection and trigger pattern analysis
- Still in early testing with a small group before our TestFlight launch.

Would genuinely appreciate any feedback on the concept or the site.

keelwellness.app

I built in the last 2 years a bus booking app for Latin America.

I would love to get your feedback and also a App review. That would help me so much and if you have a app too, I can review it back.

Here is the link to app or play store:

https://rapybus.com/appstore

I had scheduled Klick app on Product hunt launch and completely mixed up the dates.

Only to notice an hour later that the product has been launched, and receiving followers & upvotes.

Lesson learned and would appreciate some Upvotes or reviews ✨

Product Launch: 👇

https://www.producthunt.com/posts/klick-ai-camera-assistant