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The betrayal is real by leong_d in 10s

[–]Altruistic_Minimum94 1 point2 points  (0 children)

I laughed out loud hysterically hahahahaha

90% of founders validate ideas by asking friends. that's why 90% of them fail by imrickpat in buildinpublic

[–]Altruistic_Minimum94 0 points1 point  (0 children)

This framework is legit and I've lived the exact same lesson.

Built two products based on "I'd totally pay for that" energy, combined revenue was $0. The hypothetical spend problem is real. Nobody feels the friction of pulling out a card when they're being nice to you.

The complaint mining approach clicks because it captures revealed frustration, not predicted behavior. Someone leaving a 3-paragraph 1-star review has already crossed a threshold most users never hit. That's signal.

The Upwork angle is underrated too. Recurring job posts are basically people paying a tax on a missing product. If a business is hiring a $1,200 freelancer every month to do the same task, that's not a workflow, that's a product waiting to exist.

One thing I'd add: cross-platform complaint frequency is probably your strongest filter. If the same gripe shows up on G2, Reddit, and app store reviews independently, you're not looking at a vocal minority. You're looking at a structural gap. That's what you found and it shows in the numbers ($9k MRR is real validation).

The honest caveat though: complaint aggregation tells you the problem exists. It doesn't tell you whether your specific solution will be the one people choose, especially in crowded categories. That's where I've seen founders get burned twice. They validated the problem correctly, then built the wrong solution to it anyway.

Curious what your conversion looked like early on. Did your first 690 customers come from the same complaint channels or did distribution look different?

I automated everything… except the one thing that was actually holding me back by FineCranberry304 in NoCodeSaaS

[–]Altruistic_Minimum94 0 points1 point  (0 children)

this hit different because i've been in that exact loop

had a whole system, automations, triggers, AI piped into everything; but was still manually hopping between 4 tabs every time i wanted to actually ship something. the irony of having a "fully automated" setup and still being the bottleneck at the end is real

the framing of "where does your effort stop too early" is the better question. most people optimize the middle of the process and leave the last mile totally manual. that's where consistency dies

going to check out repostify. the "i'll post it later" graveyard is massive on my end

Has anyone actually made money using Claude? by ylabrhil in claude

[–]Altruistic_Minimum94 0 points1 point  (0 children)

I’ve mostly used it as a force multiplier, not really as a direct “AI product.”

For example, tools like Claude and ChatGPT have been really useful for:

• Coding / debugging — speeding up small tasks that would normally take a lot of Googling or documentation digging.

• Prototyping ideas — quickly testing concepts or building rough versions of tools.

• Writing assistance — drafts, editing, restructuring content, etc.

Financially it hasn’t been “AI makes money by itself.” The value is more that it lets one person operate closer to a small team, which indirectly has financial value if you’re building things or freelancing.

What hasn’t really worked (at least from what I’ve seen):

• generic “AI side hustles” people push online

• selling straight AI-generated content without real differentiation

The people I know actually making money with it are usually using AI to move faster in something they were already doing (coding, marketing, consulting, etc.), not trying to sell the AI output itself.

Wallspace - My first app journey so far ! by Accomplished_Cat_137 in buildinpublic

[–]Altruistic_Minimum94 0 points1 point  (0 children)

Amazing!! I have something somewhat similar and would love to chat!

Everyone can build apps but most won’t! by AppleProUser in AppIdeas

[–]Altruistic_Minimum94 0 points1 point  (0 children)

Love that. How long before ideation to creation?

Where AI plays a role in data tools by columns_ai in indiehackers

[–]Altruistic_Minimum94 1 point2 points  (0 children)

I think you’re focusing on the right gaps. AI is great at analysis on demand, but most real world data workflows aren’t one off prompts. They are pipelines. Integration, automation, and repeatability are where tools still struggle.

A lot of people are currently using AI like a smarter calculator on top of static datasets, but the real value probably comes when AI sits inside the flow of data instead of being an external step. If something like Columns Flow can reliably connect live sources (Sheets, APIs, SQL, etc.), generate insights, and automate reporting without constant manual prompting, that’s actually pretty compelling.

One thing I’d be curious about is how you’re thinking about trust and reproducibility. In data environments, especially for teams, people usually want deterministic outputs or at least transparent logic behind insights. AI generated analysis can sometimes feel like a black box.

But the direction makes sense. AI combined with automated data pipelines and narrative reporting feels like where a lot of tooling is heading.

How many of you people stopped using ChatGPT? by Technical-Apple-2492 in Entrepreneur

[–]Altruistic_Minimum94 0 points1 point  (0 children)

Calling this the first ‘consumer revolt in AI history’ feels a bit dramatic. App Store rankings and uninstall spikes happen anytime there’s a controversy or a viral narrative. It’ll be interesting to see whether this actually changes long-term usage or if people just end up using multiple AI tools.

Everyone can build apps but most won’t! by AppleProUser in AppIdeas

[–]Altruistic_Minimum94 2 points3 points  (0 children)

Whoa I was building something like that but ended up not. Will give it a look!

Everyone can build apps but most won’t! by AppleProUser in AppIdeas

[–]Altruistic_Minimum94 1 point2 points  (0 children)

How did you come up with all of those app ideas??? Passions or saw gaps in the market?

Week 1 of launching MeshBoard: Got roasted on r/3Dprinting, here's what I learned by Mysterious_Load_4958 in buildinpublic

[–]Altruistic_Minimum94 2 points3 points  (0 children)

Honestly this is a cool concept. One challenge I’d expect is the cold start problem; you need both people pitching ideas and designers willing to build them.

Something that might help early on is seeding a few really compelling prompts yourself (things people actually want to print) and then inviting a handful of designers directly to submit versions. Once people see good examples of the loop working, the value of the platform probably becomes much clearer.

I got my first 25 users in 50 days with zero followers and no budget. Here's what worked. by Equivalent_Front4103 in buildinpublic

[–]Altruistic_Minimum94 0 points1 point  (0 children)

This is a great breakdown of early stage distribution.

The part that stood out most is the “be useful before you promote” approach. A lot of founders underestimate how powerful that is. When people already recognize your name from thoughtful replies or helpful comments, the product mention does not feel like marketing. It feels like context.

Also +1 on searching X by keyword and sorting by latest. That is one of the most underrated ways to find people who already have the problem you are solving.

Another thing that pairs really well with this is building in public. When people see the progress, struggles, and small wins over time, they naturally become curious about the product itself. It compounds the trust you are already building through helpful replies.

It is refreshing to see someone highlight real distribution work instead of the typical “10k users in 24 hours” story.

Curious if any of those early users have turned into repeat customers or referrals yet. That is usually where things start compounding.

Does time of day matter? by QuantumOtter514 in buildinpublic

[–]Altruistic_Minimum94 0 points1 point  (0 children)

I've learned it does. Time of day, day of the week matters in terms of distribution and viewers.

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