tta1
Listen to any article, in your language
AI & Machine Learning·Productivity
What is tta1?
tta1 is a text-to-speech web app that lets you listen to any article, in your language. Paste a link to an article, newsletter or X thread, paste text, or upload a PDF, Word document or screenshots, and tta1 reads it aloud in a natural AI voice. Menus, ads and cookie banners are stripped out, and content in another language is translated first. Choose from 30 voices and 25 languages, with speeds from 0.5x to 2.5x. Freemium: free tier, Plus from $6/mo.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
my advice would be to just stop trying to be everything to everyone when I realized that basically picking one growth channel getting really good at it in our case it's paid search it was 100 times better than being mediocre at 10 channels so my advice would be just pick your single best level for growth get obsessed with it and measure it relentlessly
Pick One Growth Channel, Get Obsessed With It, And Beat Ten Mediocre Ones
Mickey credits his speed to growth on refusing to spread thin across channels. Going deep on Google search instead of dabbling in social, Reddit, and waitlists is what unlocked $40K MRR in seven months.
I think individual interviews can be helpful but in consumer you have so many people that are very diverse throughout the world — if you talk to five or ten people they might weigh in on a part that gives you a little bit of insight but you can't overindex to that because they still only represent N of five or N of ten.
Large surveys beat individual interviews for consumer apps — N-of-five creates false signal
Gammon's take: one-on-one user interviews are overrated for consumer apps. With 7,500+ responses to Ladder's annual survey, the signal from a quantitative population far outweighs a handful of qualitative conversations, which easily distort priorities toward a vocal minority. He recommends recurring surveys (at least annually) with carefully non-leading questions as the primary feedback mechanism, now using AI to parse open-ended responses at scale.
There's a play for whatever you're stuck on.
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