Looking for people who have tech newsletters and are ok with sharing a Hackathon.
Feel free to reply below, or DM with your stats and rates or simple RT for better reach.
🚨 Starting the challenge!
So I officially started my 0 → $4,000 MRR SaaS in 365 days challenge today.
DAY1:
The product is called FeatureNest. It's for collecting feedback and feature requests for your projects.
I want to make it stand out from the competition by
almost all of my SaaS ideas come from expired domains
one of them made me ~$2k with a ~$270 investment
here's how 👇
I browse expired domains about once a week, used to do it daily when I was flipping domains for profit, but now I'm more focused on building.
I still think that a good domain from the start can boost your launch
back in February, OpenClaw was blowing up. I was scrolling through GoDaddy auctions and spotted ClawTeam dot com
so I thought: pre-built agent configs, people want OpenClaw but don't know how to set it up... sell them ready made packs - simple idea
so I asked my own OpenClaw agent to help me figure it out, turns out agent configs are just a few markdown files with instructions and skills.
30 minutes later I had 5 agent packs ready to sell
I spent another hour building a simple landing page, added Stripe, and had everything ready before I even owned the domain.
2 days later I won the auction for ~$270 and launched ClawTeam dot com
for marketing I submitted to a few OpenClaw directories, and also started showing up in some GitHub repos, which started bringing good traffic and sales.
one landing page, a few agent configs, a good domain
~$2k in revenue
with minimal marketing effort
maybe it was luck, maybe right place right time
now the OpenClaw hype is gone, traffic is low and no sales
but the takeaway is simple - you can make money from almost anything... just ship it!
I’ve worked on enough apps to know that search is usually one of those features that starts simple and gets complicated fast.
At first, a basic keyword search feels fine.
Then users start searching the way real people actually think:
“Show me the most powerful car you have”
“High performance Italian cars above 700hp”
“A Honda or BMW with at least 200hp, rear-wheel drive, from 20K to 50K”
And suddenly your search logic turns into a mix of filters, conditions, parsing rules, aliases, and edge cases.
That’s why @typesense caught my attention.
Typesense is an open-source search engine built for modern app and site search, and their built-in Natural Language Search support in v29+ is especially interesting.
Instead of forcing users to search with exact keywords, Typesense can translate plain English queries into structured search filters and sorting logic automatically using your preferred LLM provider.
So instead of manually handling queries like:
“A Honda or BMW with at least 200hp, rear-wheel drive, from 20K to 50K”
Typesense can understand:
• car brands
• horsepower requirements
• drivetrain preferences
• price ranges
• sorting intent
without needing to build complex parsing logic on the application side.
It’s a much cleaner way to build intelligent search experiences.
Other things I like about it:
• Typo tolerance out of the box
• Fast search-as-you-type performance
• Simple relevance tuning
• Laravel Scout and Django integrations
• Minimal setup for production-ready search
If you’re building search into a SaaS product, ecommerce app, docs site, or internal tool, it’s worth checking out.
GitHub Repo: fandf.co/4nmFHME
–
Thanks to @typesense for sponsoring this post!
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