Anyone building voice AI agents knows how hard it is to stay up-to-date with the latest text-to-speech voice models.
We spend time testing and experimenting with all of the available paid and open-source text-to-speech voice AI models and consolidated our own notes and experience testing different models into a single guide for developers evaluating multiple models.
Anyone building voice AI agents knows how hard it is to stay up-to-date with the latest text-to-speech voice models.
We spend time testing and experimenting with all of the available paid and open-source text-to-speech voice AI models and consolidated our own notes and experience testing different models into a single guide for developers evaluating multiple models.
Yes, we had this talk on Product Hunt countless times, about whether Apple is behind in AI.
Apple is in early talks with Google to potentially use Gemini AI to power a revamped version of Siri, as part of efforts to catch up in generative AI. They have been considering Anthropic s Claude and OpenAI s ChatGPT + testing their own models.
I spend a lot more time on PH at the moment to see what indepedent makers are spending their time on. I've noticed some patterns and also want to share a little bit about my journey at South Park Commons. Most startup stories begin at zero when there s already a team, an idea, maybe even a prototype. But at South Park Commons (SPC), the philosophy is different: people gather in the -1 to 0 stage. That liminal space where you don t yet know what you re building or even if you should build at all. It s a place for exploration, experimentation, and being brutally honest about what s working and what s not.
A hallmark of SPC is how often industry leaders drop by to share what they ve learned in the wild. Recently, I was in a small chat with Tyler Payne former Google and LinkedIn AI lead, startup builder, who has spent the last decade helping teams actually ship real-world ML systems. We're always talking about what's being launched at SPC.
As a marketer, I ve spent a lot of time trying to turn complex products into simple, clear stories. But behind every smooth demo or campaign, there s usually a messy pile of spreadsheets, scattered data, and hours of back-and-forth trying to make sense of it all .
I am curious to hear how people are using AI agents outside of programming. Are they helping you with personal tasks, productivity, research, or other areas? What tools or services are you using, or have you created your own? How have they impacted your day-to-day life? I would love to learn from your experiences and see the creative ways people are putting AI agents to work.
What if you could simply describe your dream automation and have it built, ready to use, in minutes?
We've built Broxi from the ground up to be powerful yet incredibly simple. Describe your goal, and our Broxi Autopilot handles the rest, transforming your text into a fully functional AI agent.
We d be incredibly grateful if you could check out our page, support us, and share your feedback!
I'm Pratik, founder of Testdino - and this is my first post here!
My story: 12+ years in QA taught me that flaky tests are every developer's nightmare. You know that feeling when your CI fails, you rerun the same test, and it magically passes? Then you spend hours wondering: "Is this a real bug or just being flaky?"
The problem: Teams waste 6-8 hours per week playing detective with test failures. Even with perfect automation, we're still debugging failures manually like it's 2010.
As Business Operations Managers, we re always tasked with keeping teams informed when processes change. But the reality? Writing those Slack/email announcements every single time is repetitive, time-consuming, and sometimes frustrating.
That s why Slashit built the Dynamic AI Template Announce a Process Change Generator.
Here s how it works:
Input your Change Name, Affected Teams, Effective Date, Key Benefit
UTCP is a plug-in protocol that lets apps call tools the same way, whether they re HTTP APIs, CLIs, or other transports. Version 1.0.0 brings a lean core, protocol plugins, and a cleaner config so teams can scale tool usage without wrestling with glue code.
