I'm looking for tools to help me brief clients and get their answers in voice format. Recently, I found @Yapz It really impressed me. Simple to use, the delightful format of briefing people, only a positive experience. The only downside is that I cannot see the whole call transcript, which is crucial for me. Are there any free/cheap AI alternatives that makes summaries of answers and saves transcripts at the same time?
I'm looking to create systems around getting customers and there is too much advice out there.
I'm curious what people have learnt from their experiences in getting customers and what repeatable systems and habits you have built that have brought you traction
Is it normal on the day of a launch to be bombarded with people offering to "upvote" your launches? My inbox is filling up with people offering people not bots and x number of upvotes for y dollars. I'm in the anti-scam, anti-fraud business and this has my spidey-senses tingling.
What I have observed is that most conversations about AI tools focus mainly on one thing: Which model is the smartest. People usually pick the best one, hook it up, and be done. But that's not actually where the real pain is.
I think the real headache I have faced is that every AI company has built things their own way, so if you set your app up to work with one AI provider, and later either want to add or switch to a different one, you basically have to redo a bunch of the setup, since they don't talk to your app in the same way.
I have been in the blockchain/crypto industry for 5 years now. Both as an investor and as a developer. I have launched many products on ETH, Polygon & Cardano network.
This thread though is more about the investor side of things. How are you folks dealing with the volatility of this particular cycle? The uncertainty from the politics and regulations that are coming from US side? Feels like the business market cycle will never play out right?
On the web this argument stays theoretical, because there's always another menu. On a phone the limit is physical. The tab bar holds about five things, and everything past five sits behind a More list that almost nobody opens.
I build mobile apps, and I've shipped features that were used steadily right up until the day they moved into that list. Usage didn't decline, it stopped. What I still can't tell is whether that says something about the feature or only about the navigation, and the two point to opposite decisions: cut it, or promote something else to make room for it.
When you're past the limit, how do you decide what stays visible?
The tie-breakers I've used, none of which feel rigorous:
Axiom's mission is to build a self-improving superintelligent reasoner, starting with an AI mathematician, and for that, Carina Hong has raised $65M in seed funding.