Fathela Esq✓

MiniMax Design unlocked a new creative world. Guess how long this video took? 10 minutes! And the crazy part? I only used one prompt. It looks like something I’d spend a week making in AE Plus, annual members get 20% OFF H3 and image generation.

RT @Tonebird_ai: we just promoted a bird to head of client relations. it remembers which client is waiting on an update, what you promised them, and why “sure” sounds fine to one person and cold to another. that’s what we’re building with Tonebird: a 24/7 personal agent that remembers your relationships and uses the conversation history to help you reply in your own voice. so “any update?” doesn’t mean reopening six threads to remember what the update was supposed to be. made a pet version of the film. the cat immediately delegated everything and went to sleep.

RT @Tonebird_ai: GTM is not a viral post. GTM is not a cinematic launch video. GTM is not putting your outreach on autopilot. I’m working on GTM for Tonebird, making AI videos, testing hooks, replying to comments, and inviting people to try the product. It’s easy to fill a week with all of that. The real layers I’m trying to connect: → Attention: a hook that makes the right person stop. → Relevance: a scenario that makes them think “this happens to me.” → Trust: a demo that shows what actually works, and honest answers when people ask. → Activation: a clear next step from “looks cool” to trying it on their own problem. → Retention: a reason to use it again after the launch video is forgotten. → Feedback: what people struggle with shaping both the product and the next thing we say.

RT @IsabellaHan_: One email verification, three ways to pay for it: Hunter on @MonidHQ: $0.0123 Clay Growth: $446 a month ZoomInfo: $33,500 a year median @typesafeai's Jev sends your agent to the top line every time. screenshots from today.

Introducing Jev @typesafeai powered people search $0.0024/lead. No more $2,000 subscriptions. Your agents can now: > Waterfall across Apollo, Clay, People Data Labs, Hunter, ContactOut, Ploid > Run 1,000 leads through Jev > Pay for enrichment only on the leads Jev kept Open source. No subscriptions. 0% markup.

RT @AmControo: What if your Halloween product ad started with a quiet bedroom and ended with a ghost climbing through the window? Dreamina’s first month is just $0.29. CapCut Desktop offers 60% OFF Pro or 40% OFF Ultra through Oct 30. These are separate subscriptions. With the phone call, the woman running away, and the ghost entering, it’s easy for clips to feel disconnected. CapCut PC Multi-Track Editing helps you arrange the shots and audio into one smooth mini horror story. Dreamina: CapCut Desktop: #CapCutDidThat #Dreamina #Smallbusinessmarketing #CapCutSale

RT @AmControo: Most AI tools treat every client like a stranger. Giving your agent memory of who people are and what you promised them is what turns a chatbot into an actual teammate. This is the feature I've been waiting for.

RT @Tonebird_ai: we just fired time zones. We’re building as your 24/7 personal agent, with a memory for the people in your life: who they are to you, what you promised them, and how you usually talk. Your client shouldn’t need a fresh introduction every time you ask AI to help you reply. So we made a Tonebird film where San Francisco goes to sleep, Seoul keeps working, and the deal closes before the alarm goes off. The sun can keep its schedule. We’d like ours back.

RT @Tonebird_ai: the part I keep getting stuck on is how a startup gets big enough in the first place. Google has a whole graveyard of products it had the money to keep alive, and they still died. money doesn’t make the ball roll. I think the early version of katamari is getting big in a tiny corner. a few thousand people who can’t stop using you, in one very specific job. that’s enough to know which capabilities matter. you don’t need to be big everywhere, just deep somewhere.

a lot of applied AI companies were playing katamari - get big enough that you know which capabilities are actually worth improving, can afford to train (and win) win your domain, and have immediate demand against which to amortize that investment

RT @Tonebird_ai: we fired the keyboard. your pet got the job. zero typing experience. slept through onboarding. knocked something off the desk. but he does understand “tap the phone twice,” which is apparently enough to get a draft started now. we connected Tonebird to iPhone Back Tap through an iOS shortcut. it reads the chat on screen and suggests replies in your tone, so our newest employee can focus on his core competency: touching things he shouldn’t. a human still picks the reply and sends it. he’s already asking to work from home.

RT @AmControo: That robot is scrubbing like the security deposit is in its name.

RT @RewardAI_: We deploy OM-1 on more humanoid tasks in both indoor and outdoor environments. OM-1 can power humanoids to do useful things robustly that other models or form factors cannot. - last-mile delivery from a Cybertruck - manipulation on stairs

RT @anurahk: More and more, image models get ranked by human vote. A vote can miss that your font changed. Today @DavidZats and I are releasing VybBench, an open benchmark that scores design fidelity with numbers instead of votes. Ask a model to change one headline and it can nudge your font, shift your blue and redraw a corner of your logo too. Each edit changes a little more, until the design isn't yours. VybBench scores each piece: 145 fonts, matched pixel by pixel against the real font 100 hex codes, scored on how far each color drifts 200 small edits, scored on how many pixels changed, with a judge checking the edit was made We are not including model scores in the post, but you can see how each model scores on the Hugging Face. Every prompt, output, judge verdict and the scorer is on Hugging Face, link in the reply. Full Disclosure: At @cocoailabs we also build Vyb - our first design model built to preserve design fidelity and taste.

RT @AmControo: TRICK OR TREAT? 🎃 Until things took a spooky turn real quick. Created with @EaseMate_AI_ for the Halloween Creative Challenge. Join the challenge! Create your spooky AI masterpiece before November 3.👻 #SpookyAI #EaseMateHalloween #EaseMateAI

RT @EaseMate_AI_: 🎃 YOUR AI. YOUR NIGHTMARE. YOUR CHANCE TO WIN! 💰 $1,000 in cash prizes 🎁 24,000+ AI credits 🏆 20+ winners 📅 Oct 26 – Nov 3 UTC Join the EaseMate AI Halloween Challenge!👻( #HalloweenChallenge #AIArt #EaseMateAI

RT @Tonebird_ai: We just fired the keyboard. two taps on the back of your iPhone → three replies to choose from. we built a iOS shortcut that works with Back Tap. once set up, it screenshots the conversation on your screen, reads the context, and drafts 3 replies in your tone. pick one. copy. paste. send. your group chat gets a reply. your thumbs get a day off.

RT @Tonebird_ai: X ALGORITHM UPDATE (for accounts under 500 followers) 🚨 I have 236 followers. So today I read X's open-source algorithm to answer one question: what does it actually do for small accounts? More than you'd think. But only for 2 hours. Here's how it works, straight from the code (updated Oct 21–24): 1. Every time someone opens For You, X saves one seat for a small account. It picks ONE post that is: • from an account with ≤50K followers • an original (not a reply, not a repost) • under 2 hours old • seen fewer than 200 times on Home …and lifts it to around #16 in that person's feed. That seat is how strangers find you. At 236 followers, my followers aren't my distribution. That seat is. 2. The seat goes to the post with the best like rate. X runs a tiny lottery on every eligible post: likes ÷ views. Everyone starts at an assumed 1.5%. • 0 likes in 100 views → you look like ~0.5%. You lose. • 3 likes in 100 views → ~2.5%. You're in the race. The top 2 lottery draws go head to head on predicted engagement. The winner gets the seat. So your first 100–200 views are an audition, and the audience is mostly your own followers. 3. This week's update made the audition fairer. X can only score 2,800 posts each time you open the feed. Before, it took them first come, first served, and brand-new posts (under 2h, under 8 likes, under 500 views) were at the back of the line. They got cut first. Now every source gets cut by the same %. New posts are no longer the first thing dropped. 4. What each reaction is worth (weights on predicted probability): • Copy-link share: 20 • Reply from a mutual: 20 (5 + a 15 mutual boost) • Reply / quote / DM share: 5 • Follow: 4 • Repost: 1 • Like: 0.66 • Bookmark: 0 And what a bad reaction costs: • "Not interested": −52 • Mute: −59 • Report: −234 A 1% chance someone taps "not interested" cancels out an 80% chance they like it. Reaching the wrong crowd is worse than reaching nobody. What I'm changing at 236 followers: → Originals over replies. Replies and reposts can't win the seat. → Post when my people are awake. The 2-hour clock starts when I hit post, not when anyone sees it. → One strong post > three okay ones. They'd compete for the same audition. → Write for my 236, not for everyone. Their like rate is my ticket to strangers. → Talk with mutuals. Their replies count 4× a stranger's. → Make it worth pasting into a group chat. That's the 20. Source: Bookmarks are worth 0 to the algorithm. Copy-link shares are worth 20. If this helped, you know which button to press 🐦