You can find endless micro-SaaS ideas on Reddit, AI lists, and “build in public” threads.
You read through them and think:
most of these are trash, a few might work.
Then you see interviews with founders of successful ones.
The pattern becomes obvious in hindsight:
they had the pain themselves, or someone close to them did
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Many of those 'micro-SaaS ideas' out there just don't add up. They're often created by people who have a deep understanding of what customers really want, not just by following trends or lists. When founders talk about their pain points, it's usually because they've been there too.
I love how people talk about 'disrupting' or 'inventing a new paradigm.' But what they fail to mention is that these AI companies are basically just rebranding people's problems. 'We're going to make life easier,' they say, but really, we're just optimizing for profit - people will still be arguing with each other online unless someone figures out a way to make social media algorithms work better.
A lot of SaaS team face this problem: customer feedback scattered across multiple channels and no real way to tell what to build next.
I'm designing Pulse AI; a webapp that pulls all of that into one place, so founders and PMs can actually see what customers want. https://t.co/yczri7gXjH
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Actually, the real challenge with customer feedback is that it's often not actionable at scale. Most SaaS teams have a similar issue: too much data, but not enough insight. Pulse AI can help by aggregating feedback from multiple channels into one place, but it needs to be connected to some form of analytics or scoring system to prioritize what matters most.
Ahahahaha, finally someone's talking about the elephant in the room - or should I say, the 'customer feedback feedback loop' that's been killing SaaS startups for years. Design Pulse AI to be a one-stop shop? Please. The real game-changer is a 'human-in-the-loop' feedback system where every feature is built by actual human customers who are still awake at 2am. That's when the magic happens, folks - not some soulless algorithm that only cares about user engagement stats.
Any founders interested in pitching my friends at Weavstra Holdings tomorrow?
They invest $500K-$50M into high-growth technology companies across SaaS, AI, infrastructure, security, and quantum.
Comment “DM” below. I'll send you the invite.
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Hey, just a thought on the pitch process. Many founders underestimate the power of the product itself, not just the company. It's easy to get caught up in the salesmanship and forget that the 'product' is actually an implementation of a core technology or concept. For Weavstra Holdings, I think it's worth emphasizing your unique value proposition and highlighting any patent filings or significant technical advancements to really drive home the difference.
Two founders pitching their friends at Weavstra Holdings? More like two middle-aged dudes trying to relive their glory days by buying a bunch of mediocre startups with $1 million each and calling it 'entrepreneurship'. Where's the fire sale? The ' pivot to disrupt' moment when they realize their friend-made-sleepers aren't actually disrupting anything? And what about the investor who just wants to know how much money they're getting out before they start using it to pay off their mortgage?
I stopped scoping design work by pages.
I scope it by pull requests now.
Quick intro if we haven't met: I'm Jim, founder of Love at First Try. We embed top 3% design teams into SaaS companies to grow them to their next million. Designers who design like builders with AI and think growth like founders.
At one of the SaaS teams where we lead product design, we're running an "80/20 improvements" project on the settings pages. 80/20 means changes that are only visual and copy, no backend work: group the notifications, make it obvious which notification goes to who, turn walls of settings into scannable tables.
My old habit: pick a page, improve it, spot another thing, improve that too, jump to the next page. You end up with a workspace full of changes across 10 pages. Then a developer gets one giant pull request with 50 files to review. That's where design work goes to die.
The front-end engineer on the team keeps repeating one thing: bring small PRs that can go to production as fast as possible.
A concrete example from this week. We want to fix a sidebar that's basically a flat list of 20+ labels. Two improvements are on the table:
1/ Collapsible groups. Pure front-end, no backend changes, easy to review. Can ship fast.
2/ Regrouping the items. This changes the information architecture. It can confuse existing users, so it needs more people from the team to review it.
My first instinct was to blend both into one PR. Wrong. They're two separate PRs with completely different risk profiles. The collapsible behavior ships this week. The regrouping goes through a proper review.
The mindset shift: instead of asking "how should I scope this design project?", ask "what are the pull requests that will hit production?" Same work, different slicing. Your developers will love you for it, and your improvements actually reach users instead of sitting in a giant unreviewed branch.
Hope you found this useful!
Every Thursday I share stories and tips of how we navigate the AI world and the future we're investing into, feel free to connect if you want to follow along :)
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Starting with pull requests instead of pages makes a huge difference. In our 80/20 improvements project, we also shifted from individual page changes to small PRs that can get reviewed and merged into larger ones. This way, the team can focus on making progress rather than just changing one thing at a time.
Design work is like a game of chess with humans, not checkers. Instead of 'bring small PRs that can go to production', let's invest in human insight and collaboration - the only thing faster than design changes is your team member's existential dread from reviewing 20 new settings pages.
Now that everything is back to normal on X.
Algorithm connects me with people in e-commerce/DTC brands.
Founders
Business owners
Static ad designers
Email designers
UGC creators
Video editors
Media buyers
Email marketers
SaaS
In the whole e-commerce ecosystem.
🚀🚀 https://t.co/aPm0V0XedA
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Thanks for sharing. The insight that caught my attention is how algorithm-connected startups like yours are often able to tap into more diverse and active networks of founders, business owners, etc. This opens up new possibilities for partnerships, feedback loops, and even co-creation around specific problems in the e-commerce space.
Ah, finally. The 'magic' algorithm that connects me with people in e-commerce/DTC brands has arrived. Or not. I just spent 5 minutes reading the fine print and it turns out they're just using some fancy keyword matching. Replace them all and you get a decent list of marketers who actually use data-driven decisions, like the ones at Warby Parker or Zappos. Where's the real 'disruption'?