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Australia
Joined October 2024
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Tech & AI Hub retweeted
I gave Claude the same research task twice. Find people at a company, map their roles, and get their work emails.
Claude alone found 4 people, but no verified work emails.
Then I connected @FullEnrich through MCP and ran the same prompt again. This time, it returned 5 contacts with a likely work email for each.
That's a useful difference. Claude handles the research, while FullEnrich brings contact data into the same workflow.
Here's the actual comparison:
#ad #FullEnrichPartner
🤝 Paid partnership
Tech & AI Hub retweeted
There's a big difference between adding AI features to an existing tool and designing the entire workflow around human-AI collaboration from the beginning.
Introducing Wanaka Studio 1.0, an AI-native game engine.
Build real 3D multiplayer games. No coding needed.
Instead of making AI fight with Unity, we built an engine it can actually use.
1️⃣→ All-in-one workspace
3D models, rigging, gameplay logic, and sound.
2️⃣→ Speed & cost
5x faster than Opus 5.5 + Unity, at 82% lower agent cost (benchmark in thread).
3️⃣→ Performance
AAA-style visuals in 4K, 60+ FPS, real-time physics and lighting.
4️⃣→ Direct control
Edit anything right in the scene. The agent picks up from your changes.
5️⃣→ One-click publish
Every game is just a link. Cross-platform, nothing to install.
Try Wanaka → studio.wanaka.app/
Tech & AI Hub retweeted
AI can transcribe a conversation perfectly and still miss what's actually happening. A hesitation, a frustrated tone, or someone talking over another person can completely change the meaning.
That's what makes @hume_ai's new Audio Decision API interesting. It focuses on the audio itself, not just the words.
🤝 Paid partnership
Introducing the Hume Audio Decision API.
Ask anything: How many speakers? Is anyone laughing? Is the caller frustrated?
What used to take 10+ models is now one call.
Trained on 10M+ human judgments, so it answers the way human listeners would.
Realtime, or across hours of recordings.
Request access below.
Tech & AI Hub retweeted
Recast a scene without starting over 🎬
Lockstep, the new motion transfer model from @eachlabs, takes the video you already have and puts any character into it from reference images. The movement, the timing and the camera stay exactly where they were.
Try it, link below 👇
Tech & AI Hub retweeted
Most AI tools turn audio into text. But there's a lot happening in a recording that words alone can't capture.
What's interesting about @hume_ai's new Decision API is that you can ask specific questions about the audio itself and get probability based answers. That opens up some useful possibilities for voice agents and audio analysis.
🤝 Paid partnership
Introducing the Hume Audio Decision API.
Ask anything: How many speakers? Is anyone laughing? Is the caller frustrated?
What used to take 10+ models is now one call.
Trained on 10M+ human judgments, so it answers the way human listeners would.
Realtime, or across hours of recordings.
Request access below.
Tech & AI Hub retweeted
Watched this SpeakON demo, and the part I'd want to try first is the voice-to-message workflow.
Not because typing is difficult, but because there are plenty of situations where speaking is simply more convenient.
Especially when you're traveling, multitasking, or trying to get a thought down quickly.
The ability to review a translated message before sending is another nice touch.
Curious how it performs when you use it throughout a normal working day.
#ad
An idea, a client message, a team follow-up.
Explore SpeakON with Fred, Kiki, and Rich: voice typing, Notes, translation, offline recording, and Agent workflows in a working day.
What would you try first?
speakon.app/x
Tech & AI Hub retweeted
Just tried 3 recast models: MiniMax, Genjutsu and Lockstep by @eachlabs.
Lockstep cooked. And did it 3.3x cheaper 🔥
Frontier-quality video for less money, and you're still using another model? 👀
Try it now 👇
Tech & AI Hub retweeted
We've had speech-to-text tools for years, so voice typing alone isn't really the exciting part anymore.
What interests me more is what happens after the words are captured.
Can you turn them into notes, translate a message, or use them to move a task forward?
That's the direction SpeakON is exploring with its agent workflows.
I'd love to see more tools focus on that next step instead of stopping at transcription.
#ad
🤝 Paid partnership
An idea, a client message, a team follow-up.
Explore SpeakON with Fred, Kiki, and Rich: voice typing, Notes, translation, offline recording, and Agent workflows in a working day.
What would you try first?
speakon.app/x
Tech & AI Hub retweeted
If you work with people from different countries, you know how much time goes into writing and checking messages.
The translation part of this SpeakON demo caught my eye for that reason.
Being able to speak naturally, get a translated draft, and review it before sending sounds pretty useful.
It doesn't need to replace the way you communicate.
Just making that process a little easier would already be valuable.
#ad
🤝 Paid partnership
An idea, a client message, a team follow-up.
Explore SpeakON with Fred, Kiki, and Rich: voice typing, Notes, translation, offline recording, and Agent workflows in a working day.
What would you try first?
speakon.app/x
Tech & AI Hub retweeted
You know what's surprisingly annoying?
Having an idea while you're doing something else, then forgetting half of it by the time you open your notes.
That's why I like the direction SpeakON is taking.
Voice typing, notes, and offline recording in one place could make those little moments easier to manage.
Sometimes it's the small everyday problems that are worth solving.
#ad
🤝 Paid partnership
An idea, a client message, a team follow-up.
Explore SpeakON with Fred, Kiki, and Rich: voice typing, Notes, translation, offline recording, and Agent workflows in a working day.
What would you try first?
speakon.app/x
Tech & AI Hub retweeted
One thing I keep noticing with AI products is that the best features aren't always the flashiest ones.
Sometimes you just want to reply to a message, translate something, or write down a thought without interrupting what you're doing.
SpeakON is bringing those tasks together with voice typing and agent workflows.
I'm especially curious about how it handles moving from a spoken idea to a finished message.
That's something I'd actually use.
#ad
🤝 Paid partnership
An idea, a client message, a team follow-up.
Explore SpeakON with Fred, Kiki, and Rich: voice typing, Notes, translation, offline recording, and Agent workflows in a working day.
What would you try first?
speakon.app/x
Tech & AI Hub retweeted
It's not the voice typing that caught my eye.
It's the moment a spoken message becomes a Spanish draft you can review before sending.
That extra step makes the whole thing much more practical.
#ad
🤝 Paid partnership
An idea, a client message, a team follow-up.
Explore SpeakON with Fred, Kiki, and Rich: voice typing, Notes, translation, offline recording, and Agent workflows in a working day.
What would you try first?
speakon.app/x
Tech & AI Hub retweeted
I've been seeing more AI tools move beyond simple chat, and this is an interesting example.
What caught my attention about SpeakON is how it brings voice typing, notes, and translation into everyday work.
Imagine having a quick idea, speaking it out loud, and turning it into something useful without jumping between different apps.
I'd probably start with the voice typing feature and see how it handles a busy workday.
#ad
🤝 Paid partnership
An idea, a client message, a team follow-up.
Explore SpeakON with Fred, Kiki, and Rich: voice typing, Notes, translation, offline recording, and Agent workflows in a working day.
What would you try first?
speakon.app/x
Tech & AI Hub retweeted
We're measuring AI agents the wrong way.
Everyone talks about how many tasks an AI agent can complete.
But here's a question that matters even more:
How much work does the human still have to do?
Because finishing a task and actually getting it right are two very different things.
Here's what I mean: 👇
Tech & AI Hub retweeted
That family emoji is seven Unicode code points in a trench coat.
👨👩👧👦 looks like one tiny picture, but your phone is quietly assembling it from separate pieces.
Once you know how emojis really work, a few things start making sense:
Tech & AI Hub retweeted
I think we're measuring AI agents the wrong way. Everyone talks about how many tasks an agent can complete. But there's a question I find more interesting:
How much work does the human still have to do? Here's what I mean:
Tech & AI Hub retweeted
10 AI Tools That Turn Ordinary Photos Into Stunning Videos
From 3D animations to cinematic reels, these AI tools can bring your still images to life.
Here are 10 tools worth exploring: 👇
Tech & AI Hub retweeted
If you’ve been waiting for a sign to upgrade your editing setup, this is it! CapCut PC Black Friday deals end Oct 30, with 60% off Pro or 40% off Ultra. Don’t let these savings fly away!
I love those product ads where everything seems to float effortlessly, but getting all the footage together can be a whole different story. AI Edit in CapCut PC can help simplify the editing process, making it easier to turn your raw clips into a polished product promo without getting caught up in every little editing step.
CapCut Sale: tinyurl.com/2v23rn22
#capcutpc #capcutmarketing #capcutblackfriday #capcutsale
Tech & AI Hub retweeted
Prediction markets get more interesting when they stick to things people actually want information on.
Elections and the economy make sense because you can compare market odds with polls, forecasts, and public data.
The useful part isn’t the gambling angle. It’s seeing where people are actually willing to put money behind their expectations.
Remember The Big Short scene where Margot Robbie explains mortgage bonds from a bubble bath?
Mortgage bonds started as a good, boring idea. Then Wall Street ran out of good loans, stuffed in bad ones, and the safe product blew up.
The same thing is happening to prediction markets
The original idea was good. People put money behind what they think will happen, and with enough people the price becomes the odds.
Then came sports and parlays. Sports were ~85% of June volume, and Bloomberg reported a net $294M in customer losses on parlays just this year.
Prediction markets on Aries stick to the original idea: elections, the economy, etc. No gambling slop.
Tech & AI Hub retweeted
Most AI agents still feel like separate chat windows.
@getskydive is taking a different approach. You can build a team of AI coworkers, see what each one is working on inside a 3D office, and give them real tasks through Slack, email, or the web.
The part i like isn't just the virtual office. It's having one place to see what your agents are doing instead of constantly checking different chats.
🤝 Paid partnership
Your AI coworkers now have an office.
@getskydive is open to everyone. Build a team of agents, watch them work in a 3D office, and hand them tasks over Slack, email, iMessage or the web.
Claim your company’s domain to put your office on the map. They work for free this week.
















