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Launching TwelveLabs on Product Hunt again - Lessons learned
TwelveLabs just introduced Pegasus 1.5, their most significant leap in generative video AI, transforming video into a queryable, structured data asset.
They're launching today on Product Hunt.
HtmlDrag v2.0: AI creation now has File Mode, Thinking, and a redesigned Template Mode
Hey everyone I just shipped HtmlDrag v2.0, and this is the biggest product update I ve made so far.
This release is all about making AI HTML creation more practical.
Instead of treating AI like a one-shot generator, I rebuilt the experience around two clearer workflows:
File Mode
Anthropic just dropped Opus 4.7
Here s what changed:
Production-ready code with minimal oversight, and it can verify its own outputs
More control over reasoning effort
3x better vision (now up to 3.75MP images)
Improved instruction following and overall reliability
New xhigh reasoning mode for finer control between speed and depth
Same pricing as Opus 4.6 ($5 and $25 per million input and output tokens). The new tokenizer can use around 1.0 to 1.35x more tokens depending on content, though this can be managed through effort settings and task budgets.
The best AI products should make themselves less needed over time
There's something counterintuitive about building an AI product in the mental health and self-awareness space: if you're doing it right, your users should eventually need you less.
Most product teams optimize for stickiness. More sessions, more time in app, more daily returns. But at Murror, we've been wrestling with a different question what if the goal of our product is to help someone build enough self-understanding that they don't need to open the app as often?
We asked what felt off about AI voices, you told us. We’re fixing it.
Over the past few months, we ve been talking to a lot of you using Velo.
Real conversations, and people trying it out, sending clips, pointing things out.
And almost everyone said some version of the same thing: It sounds like me but something feels missing.
At first, we thought it was about accuracy. Maybe the voice wasn t close enough. But the more we listened, the clearer it became - that wasn t the issue.
The issue was how it felt. The tone stays a bit too samey. The emphasis doesn t always land where you expect it to. And the little natural shifts that make your voice yours just aren t fully there yet. It sounds right, but it doesn t feel alive.
So we went back and started reworking how we think about voice cloning at Velo. Not just matching how you sound, but capturing how you express. The way your voice changes when you re explaining something, when you re just talking casually, or when you actually care about what you re saying.
That s what we re building now. The next version of Velo is focused on higher fidelity voice cloning. More nuance. Better pacing. More natural expression.
Something that doesn t feel like a generated voice reading your script, but closer to you actually speaking.
We re still building it, but it s coming together fast. We re planning to ship this soon.
If you ve used Velo before, we d love to know - what do you think about Velo's voice cloning or other workflows? What would make it feel right?
We re listening.
How marketing agencies can add $1,000 MRR per client without taking on more work
Most agencies are missing a huge blind spot in their client reports right now.
Not because they are bad at their job.
Because the game changed and nobody sent a memo.
More and more of your clients customers are skipping Google entirely. They go straight to ChatGPT or Perplexity, ask a question, get an answer, and click the brand that gets mentioned.
If your client is not getting mentioned? They are losing leads they do not even know exist.
I spent the last few months figuring out how to track this properly and turn it into a service agencies can actually sell. Not some complicated AI audit. Just a simple monthly report that shows clients where they stand in AI search, how their competitors are doing, and what to do about it.
Agencies adding this are charging between $200 and $500 extra per month per client for it. The conversation is easy because the data is new and clients have never seen it before.
I wrote a free playbook covering the whole thing.
What AI visibility actually is. The metrics to track. A script for pitching it. A sample report structure. And a 7-day checklist to get your first report delivered.
Download here.
If you are running an agency and you have been looking for a way to grow revenue without growing your client list, this might be the one.
We Did a Podcast with Google: What We Shared about Monetizing a Chrome Extension
There's almost no public content on how to monetize a Chrome Extension.
Google invited us to do a podcast about it, sharing our learnings on how two bootstrapped guys grew Pretty Prompt to 40,000 users, 25% on annual plans, with ~7% weekly growth, with no VC money.






