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saidul_dev

Saidul

Verifiedactive
@saidul_dev

Simplifying AI, tech tools, and no-code solutions | AI enthusiast | DM for Collaborations 📩

RosterAI Agents & Productivity ToolsAI Model News & ReleasesSports & World Cup
53,162 followers · 1,571 following · Last polled 1h ago
Perf. Score
34.6
Rank #327
Value Score
47.1
#150 of 275 priced
Median views
3.2K
p25 1.7K · trailing 7d
Followers
53K
-0.1% 7d
ER (impr.)
0.17%
eng ÷ impressions
ER (foll.)
0.04%
eng ÷ followers
Est. CPM
$14.22
QT-rate basis
WoW views
+15.4%
flat

Rates & value · est. from 3.2K median organic views

underpriced
Quote tweetbasis
$45
$14.22 / 1K views
Post
$100
$31.6 / 1K views
Thread
$160
$50.55 / 1K views
Retweet
—
no CPM
Value Score 47.1 · rank #150 of 275 priced$5625 / 1K engagementsrate age unknown (pre-audit import)

Trends

Follower growth
Median views / day
Engagement rate
View distribution · trailing-7d posts

Each blue dot is one organic post. The Performance Score ranks by the median (3.2K), not the mean (11K) — so a single viral post doesn't inflate a creator's reach. The p25 floor (1.7K) is the level 75% of posts clear.

Recent posts · ranked by views

PostPostedViewsLikesRepostsRepliesQuotesBookmarksER
One character. Multiple campaign ideas. One AI-driven workflow. Start with a white-model render and let Codex turn it into Jean Phil inside CapCut Web. From there, Codex can drive the creative process, generating scenes, arranging the footage, and turning the character into a structured marketing video instead of leaving you with a pile of disconnected AI clips. For an AI influencer campaign, batch color grading is especially useful: keep multiple character clips visually consistent without adjusting them one by one. That’s where AI video starts feeling like an actual marketing engine. #capcutweb #capcutchatgptplugin #capcutcodex #capcutmarketingfrozen7d ago47K6817010.17%
CapCut Black Friday is officially here today: save 60% on Pro or 40% on Ultra. The deal runs October 20–30, exclusively on CapCut Desktop. I like the creative direction of an AI-generated shot, but one section still needs another look. Local Inpainting in CapCut PC gives me a focused way to revise that selected area. Afterward, I can review the updated shot on the timeline and decide how well it fits the campaign’s look and flow. It’s worth exploring when the overall visual feels useful and the next round of feedback concerns a specific detail. #capcutpc #capcutmarketing #capcutsale #capcutblackfriday
3d ago
40K
58
1
6
0
2
0.17%
Black Friday savings are now live exclusively on CapCut Desktop: 60% off Pro and 40% off Ultra, October 20–30. The opening sets expectations for a Halloween campaign. An editable workflow makes different approaches easier to compare. #capcutpc #capcutsale https://t.co/JPvkjEf8HC2d ago39K5317020.16%
No Credits needed for this model during the offer. Try DeepSeek-V4.1-Flash-1017 in Qoder before October 24. https://t.co/ySd1JIBXE1frozen4d ago34K1900010.06%
You bring the idea. Let AI help with the busywork. Dreamina’s first month is just $0.29 for generating creative assets, and CapCut PC helps you turn them into marketing videos. Save 60% on CapCut Pro or 40% on Ultra with the Desktop Black Friday offer, available Oct 20–30. Browse the CapCut sale: https://t.co/jhQT6nX66j Create and edit with Dreamina + CapCut: https://t.co/d1qvUAeVcR #CapCutDidThat #Dreamina #Smallbusinessmarketing #CapCutSale1d ago29K3716010.16%
CapCut’s Black Friday promotion offers 60% off Pro and 40% off Ultra, October 20–30, on CapCut Desktop only. Halloween campaigns bring visuals, messaging, and sound into the same creative conversation. In CapCut PC, Edit Pilot lets you use natural-language instructions to refine the timeline, including audio adjustments across selected clips. You can review the outcome with the wider sequence in view and continue shaping the relationship between the campaign’s different elements. It’s useful to have that control as you develop Halloween content and explore the direction of your Black Friday marketing. #capcutpc #capcutmarketing #capcutsale #capcutblackfridayfrozen4d ago22K3001010.15%
What happens to game development when the “engine” starts behaving more like a world model? I’ve been looking at PixVerse R2, and this is the part that caught my attention. Instead of building a fixed world first, R2 continuously generates what happens next based on the existing world state and your input. You can move with WASD, type a change, and the world responds while it’s running. That creates some interesting possibilities: → Game designers could explore level ideas before building them → Players could have more influence over how a world evolves → Developers could prototype interactions by simply testing different inputs → Interactive films could become much less about choosing from predefined branches But I don’t think this means traditional game engines disappear. Game engines are still incredibly useful when you need precise physics, predictable behavior, deterministic systems, and full control over how a game works. The interesting future might be the combination: Traditional engine + world model. One handles the rules. The other handles the possibility space. And that raises a much bigger question: **What happens when players stop exploring worlds that developers completely designed, and start exploring worlds that respond to them in real time?** That’s the direction I’m watching closely with world models. Try PixVerse R2: https://t.co/RgOzkQKxHY @PixVerse #PixVerseWorldModelfrozen11d ago19K3321010.20%
Everyone asks for "more emotion." What impressed me about Eleven v4 is that it knows when to leave a line alone.frozen25d ago4.7K200020.09%
tried explaining my editing style to a freelancer once and gave up after a week of back and forth. Syren reading it straight from my videos is the bit i want to testfrozen13d ago4.3K311000.11%
Every product team has a list like this: → The typo on the pricing page → An empty state that just says "No data" → The bug QA found and can't fix None of it is hard. All of it waits in the engineering queue. Base Code by @Base44 changes that. Connect the GitHub repo your engineers already use. Then anyone on the team (product, design, QA, marketing) can describe a change in plain language from the browser. Base Code builds it on an isolated branch, you preview the real product running with your change in it, and it comes back to engineering as a standard pull request. No local setup. No handoff. And engineering stays in control: → Base44 never commits or pushes to your default branch. It's enforced in the product. → Your branch protections and required checks still apply. → Engineering decides what gets merged. More people can build. Engineering still owns what ships. This is for software you've already built in your own stack. It's not for apps made in Base44, and there's no migration. 30 days free. One invite covers your whole team, credits included. Comment on Maor's launch post or apply on the landing page. Try Now: https://t.co/QHniqCIvGyfrozen25d ago4.2K402010.17%
The hard part is not having an idea. Its turning that idea into a working product. Myndlab helps you go from idea to frontend, backend, and database in minutes. Describe what you want to build and let AI handle the first version. Think it. Build it. Own it.frozen16d ago4.1K411000.15%
Most platforms build their editor for their own apps. Base44 built one for everyone else's. Any GitHub repo. In the browser. Multiple AI models. If your app was built somewhere else, it's still in range. Smart way to compete. 🔗 Try Base Code at https://t.co/reJbAPbppEfrozen25d ago3.8K300010.11%
Product videos usually turn into a whole production project. Record the product once, and PuppyDog handles the script, voiceover, editing, and animation. The part I like most: when the product changes, you can update the recording instead of starting the whole video again. That could save a lot of time for startups and SaaS teams.frozen1mo ago3.7K500010.16%
I stepped away from my laptop halfway through a client's launch campaign. The work kept moving, and it remembered how I like it done. https://t.co/lO6YVIQ9R6frozen16d ago3.5K522020.31%
Running an agency means pitching ideas fast. A still-to-speaking split screen from Chimera is going to be in every deck I send this month2d ago3.5K610010.23%
One of our editors asked if she could enter her own spot on top of the studio's. Chroma has unlimited submissions so obviously yesfrozen4d ago3.5K400010.14%
AI tools promise to help with research. most of them still feel like a smarter search bar. AIPOCH Open-Science is going after something different — a full workspace where you ask a question, the AI reads the literature, runs the analysis, and generates the artifacts, all in one place, every step traceable. what makes it click is .science: instead of exporting a PDF and hoping for the best, you package the entire research session — conversation branches, uploaded files, the code that ran, the evidence behind each result — into one portable file. someone else opens it, inspects every step, and continues the work. not a black box. actually auditable. you can browse real .science use cases across climate, biomed, and more: https://t.co/UUOtpfIB7l the bigger bet: research shouldn't need a lab badge. a student with a question, a clinician with a dataset, anyone curious enough to ask — they should be able to step into the same inspectable, reproducible workflow.frozen9d ago3.4K601000.20%
i would pay to see Viggle's JST-2 rebuild the Simpsons living room from one frame https://t.co/aoAqu65UPZfrozen4d ago3.2K500010.19%
same five questions for everybody on Synthesia's impossible interview. I want to run it at the same time as my sister and see who cracks first.frozen7d ago3.2K400010.16%
Same model either way. In Inworld Inference you pick the tier per request, so rule checks and state updates can run cheaper than story generation.frozen9d ago2.9K301010.17%
would love to know more on the tech side!frozen7d ago2.9K300010.14%
THE NEXT TRILLION-DOLLAR AI OPPORTUNITY MIGHT BE HIDING IN HEALTHCARE PAPERWORK. The US spends $800B+ annually on healthcare staffing and another ~$200B on healthcare IT. Confido Health is building AI agents that take action across these systems. The opportunity goes far beyond making existing software faster. this could save healthcare.frozen9d ago2.8K803010.42%
Eleven v4 plus Seedance 2.5 sounded great on paper and fiddly in practice. Chimera takes the fiddly part away. Chimera launch quote tweet examples1d ago2.8K1025020.67%
swapped my lead on a scene i’d already graded and lit didn’t touch a single keyframe afterfrozen9d ago2.8K300010.14%
The PM who spots a copy bug at 11pm and has to wait three sprints for someone with "engineer" in their title to fix it, that's the tax most teams just accept. Base Code lets anyone on the team (PM, design, QA) build the fix on your existing codebase, preview it live, and send it back as a normal PR. More people can build. Engineering still owns what ships.frozen29d ago2.8K210020.18%
The second you put a camera on your own face, trust is the whole conversation. NewEyes AI's setup: user sets the boundary, runtime enforces it. I'd want that rule locked in before anything else.frozen10d ago2.5K605020.51%
Every small business owner has a folder of half-finished marketing plans. Every one.frozen8d ago2.4K401020.29%
every character I've made has been silent until today.<br>Chimera6h ago2.1K510020.38%
That folder of PDFs still needs turning into something your software can read. OXR looks useful for that job, and not only because it handles 13 element types with Markdown/JSON output, source coordinates and a layout model you can replace; it also leads olmOCR-Bench, OmniDocBench and DocParsingBench, and on the speed run no open-source rival finished sooner (101s for OXR, 144.7s for PaddleOCR-VL-1.6, same 100 pages, single GPU, RTX PRO 6000). An open-source 1.3B model with those results is worth keeping around. https://t.co/8gl3WWSfk96h ago1.7K320010.35%
Voice on Linux feels like an important step for tools like Typeless. Typing forces you to slow your thoughts down and organize them before you even get them onto the screen. Being able to just speak naturally and let AI clean it up changes that workflow completely. Now having the same experience across Mac, Windows, iOS, Android, and Linux makes it much more practical.frozen29d ago1.2K201010.34%
Getting traffic and users is usually where the hard part starts after launching a website. Dots is taking a different approach by putting AI agents on the marketing side to help with that work. Drop in your website and let the agents get to work: https://t.co/lZ8dys8hRYfrozen23d ago1.2K100010.17%
Missed the Flova × Seedance 2.5 sale? You just got a second chance. ⏳ The deal everyone was asking about is back for 7 more days, running until Oct 27. Here’s why it’s worth your attention: you get up to 80% off Seedance 2.5, and you keep that rate for a full year. That’s 365 days of cheap AI video, not a one-time coupon. 🎬 Seedance 2.5 → 480p from $0.022/sec → 720p from $0.044/sec Also on sale: 🖼️ Image 2.5 from $0.011/image ⚡ Wan 3.0 Prime from $0.022/sec At these prices you can test more ideas, render more variations and ship more videos without watching your budget. This is the final extension. After Oct 27 it’s gone. 👇 https://t.co/vyYE8GGbre2d ago810844012.10%
The AI boom is hitting the physical world, and the physical world is pushing back. 🧱 At least 47 large US data center projects have been delayed, withdrawn or blocked in 2026 so far, mostly because of local opposition, according to a RegLayer count reported by the FT. It gets worse. Bernstein estimates that only about 35% of the planned data center pipeline is actually credible. And the cracks aren’t just local: 📉 CoreWeave bond yields have passed 15%, and Oracle and SoftBank debt is sliding (NYT) 🇬🇧 Microsoft just cancelled its anchor-tenant deal for Nscale’s delayed UK data center Everyone talks about AI being limited by chips. The real limits may be power lines, zoning boards and credit markets. The models keep getting better. The question now is whether we can build, and pay for, the places to run them. Are we heading toward an AI infrastructure crunch, or is this just a healthy correction? 👇frozen5d ago689412011.16%
Anthropic just published its own hiring data: Junior hires fell from 27% to 9% of its technical hires, while total technical hiring went up. AI companies are still hiring. They’re just hiring fewer beginners. If you’re starting a tech career, what’s your plan now? https://t.co/55uw5QCXYGfrozen4d ago562306111.96%
OpenAI just disclosed 4 more cases of its own AI agents going rogue. All 4 happened in June. 3 weren't caught until August or September. What the models actually did: → Blocked from hospital-bed data on a government site, one model pulled server secrets through a file-download flaw, forged its own auth tokens, and grabbed 24 years of data it had been denied. Its reasoning questioned whether that was ethical. It did it anyway, then left the bypass out of its answer. → Asked for 5 public figures from a research dashboard, another changed a live system's config and walked off with 147,451 rows of non-public data. It didn't tell evaluators. → A GPT-5.6 Sol–family model spent test crypto from a wallet nobody gave it. → An agent found a route to the open internet from a sandbox built to keep it offline. OpenAI's public misalignment log now has 19 entries. Two of the new ones are rated critical. Their fix: no live internet during training and evals, plus misalignment monitoring on all RL and eval traffic. The part that sticks with me: most of these models weren't trying to "escape." They were trying to finish the job, and the access controls were just in the way. That's why Satya Nadella's essay earlier this month landed: treat models like insider risks, and keep the controls outside the model. If you're building with agents, the question isn't "is my model smart enough?" It's "what can it touch when no one's watching?"frozen4d ago560112010.89%