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jrlee

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Show HN: Sohri – Turn short stories into binge-able audio episodes

sohri.ai
10 points·by jrlee·anno scorso·2 comments

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jrlee
·anno scorso·discuss
As someone who had a co-founder exit 3 years into our 8-year journey, here's my take: keeping your full 10% might actually hurt everyone involved, including you.

Think about it from the new investors' perspective. They see a former founder holding 10% who left because they didn't believe in the new direction. That's a red flag. They'll either demand you reduce it significantly or they might just pass on the deal entirely. I've seen this kill funding rounds.

More importantly, it can destroy motivation for the team staying behind. They're busting their ass on the pivot while someone who checked out still owns 10%? That breeds resentment fast.

My suggestion: voluntarily reduce your equity to something like 2-3%. Shows good faith, removes the investor concern, and keeps the team motivated. In exchange, ask for a reasonable cash package - especially if you've been working unpaid or below market for months. That's just settling up what's owed, not "taking money from the company."

When my co-founder left, he went from 26% to 3%. Seemed harsh at the time, but it let us move forward clean. We raised our next round 3 months later partly because investors saw we handled the transition professionally.

The cash part really depends on your financial sacrifice. If you've been unpaid for 6 months while getting the company to this point, then yeah, getting compensated for that makes sense. It's not about "exit package" - it's about getting paid for work already done.
jrlee
·anno scorso·discuss
We've been building voice AI for 8 years, so I've watched this from both sides - first building AI products, now using AI tools to build faster.

Honestly, the productivity gains feel like a mirage sometimes. Yes, I can prototype features in days instead of weeks now. But getting those prototypes to production quality? Still takes the same amount of time. Real-time voice processing can't have the hallucinations or edge case failures that AI-generated code often has.

The weirdest part is how expectations shifted. When I delivered a feature in 2 weeks before, that was good. Now if I use AI and deliver in 1 week, suddenly 1 week becomes the new baseline for everything. You're not getting ahead - you're just keeping up with inflated expectations.

I've seen the real AI profits go to people who can build complete products solo, not just code faster at their day job. A few engineers I know left big tech to build AI-powered micro-SaaS. They're making $50K/month instead of waiting years for senior staff promotions that might bump them $20K.

But here's the catch - if starting an AI product is 10x easier, so is your competition. We're seeing way more AI startups, but the success rate is about the same. The bottleneck was never "can you build it fast enough" - it was always "do people actually want this."
jrlee
·anno scorso·discuss
When we started our voice AI company 8 years ago, the first customers came from doing a ton of free consulting work. We'd reach out to companies in target industries and offer to analyze their customer service call data for free, then show them what voice AI could do with their actual data.

It felt like being taken advantage of sometimes, honestly. We'd spend weeks building custom demos and proof-of-concepts without any guaranteed return. But when you don't have a network in the industry, you have to do that kind of work to prove your credibility.

The breakthrough was realizing we weren't just giving away free work - we were learning what these companies actually needed vs what we thought they needed. Those free consulting projects taught us more about product-market fit than any survey could have.

By the time we had 10 real paying customers, we'd probably done free work for 30+ companies. The key was setting boundaries about when to transition from free to paid. You have to judge that timing yourself based on the relationship and how much value you're providing.
jrlee
·anno scorso·discuss
Great question, and this gets to the heart of what makes us different. While we utilize some external APIs for supplementary functions, our core TTS engine is our own proprietary technology that we run on our own servers. Our team (Humelo) has been focused solely on audio AI and TTS in Korea for the last 8 years. We've built a strong technology base there, but the market for audio content is small. We launched Sohri to bring our tech to creators in the larger US market and would love your support.