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19555 mentions
tracked
net sentiment +23%
6001 positive 12097 neutral 1457 negative
volume & sentiment over time Sep 30 – Oct 18, 2026 · Daily
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•twitter19555
most discussed —
active days 19
mentions Showing 10626–10650 of 19555 mentions
  • • twitter kentcdodds 1w neutral
    @aarondfrancis @abbygilson28 I read "cuddle" at first
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  • • twitter impeccable_ai 1w neutral
    RT @mager: Diving into @impeccable_ai: design verbs, slop detection, static analysis and learning how to contribute https://t.co/OsB4OEqT9f
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  • • twitter oWestEdits 1w neutral
    Intro edit for @DrumsyOfficial Looking for a Video Editor? HMU: owestedits@gmail.com Discord: owest. https://t.co/XW7nAX1o8u
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  • • twitter willcb 1w neutral
    can't believe they didn't even prove P=BPP smh
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  • • twitter Cookiesarefunnn 1w neutral
    How to get your first 100 users This is how we got 3000 users in a month https://t.co/fGNJeQIozL
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  • • twitter impeccable_ai 1w neutral
    RT @pbakaus: really grateful for the existing @impeccable_ai community and ongoing influx of first-time users. Impeccable has been trending…
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  • • twitter pbakaus 1w neutral
    really grateful for the existing @impeccable_ai community and ongoing influx of first-time users. Impeccable has been trending on @github in the last weeks 🙏 ...and we're not slowing down, so much more to come! i've been a bit too silent here as we've been grinding non-stop, but will tweet more about the progress agai…
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  • • twitter Ionkosm 1w positive
    Time to focus on distribution and keep making ThumbFocus better. I let Astra redesign the link preview and the new one slaps. Before → After 👇 What do you think? https://t.co/mHEnJFKvdY
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  • • twitter jh3yy 1w positive
    clicking links is overrated 🔥👆↓ https://t.co/NS8F0Zm7l1
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  • • twitter Dostoevskyquot 1w positive
    When Dostoevsky said: “To go wrong in one's own way is better than to go right in someone else's.”
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  • • twitter thomasaas 1w neutral
    With the tool I created, I no longer need a mouse, I sold all that for a max of MRR 🤯 https://t.co/ON6GrUqa8n
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  • • twitter cml1312 1w neutral
    my dream revenuecat dashboard https://t.co/NZ9SauLCyW
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  • • twitter thinkingminds1 1w neutral
    https://t.co/XSOicstGTf
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  • • twitter LeoTollstoy 1w neutral
    Tolstoy writing about Dostoevsky: https://t.co/gFGt6pEn3L
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  • • twitter theinformation 1w neutral
    Microsoft was on track to spend $1 billion on employees’ Claude use. @aaronpholmes reports how much it pulled back: “It's about at least 33% lower than that peak spending.” Full story: https://t.co/41ipAnIsbd https://t.co/fWh6av2SuX
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  • • twitter BenjaminDEKR 1w neutral
    I had Claude Opus 5.5 review all of the OpenAI math repo. Then I asked, "On a scale of 1 to 10, (1 = yawn, 10 = physics-changing), how do you objectively rank the claims in the repo if all turn up correct?" Claude's answer: The whole collection, if every claim holds: 10.
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  • • twitter leninaveira2 1w neutral
    Eu falaria com a minha psicanalista, Temer. Isso que eu faria, em primeiro lugar, seu golpista...
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  • • twitter FCBarcelona 1w positive
    The winning team 🩵 https://t.co/0UH0Cc0huf
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  • • twitter ProductHunt 1w neutral
    Check out their launch https://t.co/uCp66K2AWE
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  • • twitter ProductHunt 1w positive
    The @WillowVoiceAI just made dictation a bit more personal. Willow Knowledge lets you port your tone, style, and context from ChatGPT, Claude, or Gemini so your dictated emails, Slack messages, and prompts actually sound like you. It's like proactive edits to your spoken thoughts. https://t.co/LwYeUuDRoo
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  • • twitter profound 1w neutral
    @Muse @allisoncyhuang Methodology: Ran 50 prompts from a single consumer retail category through one Muse instance. This is a small, exploratory sample, so the patterns are illustrative rather than definitive. The workflow is defined in Muse’s shopping skill file. https://t.co/UePt0EuZiI
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  • • twitter profound 1w neutral
    @Muse @allisoncyhuang 3/ 𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻: The candidates from the browser session and Meta product catalog query are filtered and ranked, resulting in a final recommendation set.
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  • • twitter profound 1w positive
    New research on personal agents: How does @Muse find and recommend products? Analysis based on running 50 prompts from a single consumer retail category. Findings from Researcher, @allisoncyhuang 🧵 https://t.co/2xZqxmeH13
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  • • twitter rauchg 1w positive
    “Thinking fast and s̶l̶o̶w̶ a bit less fast under a confidence threshold.” A very simple feature that I think will be extremely impactful for at-scale AI decision-making.
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  • • twitter afahmy_dev 1w neutral
    Now hiring: Account Executive, New Business (Mexico) You'll own a defined territory and named-account set in Mexico, the pipeline you create within it, and the commercial outcome of every deal you run, from first conversation to signature. The deals are consequential rather than... 💰 60,000 - 73,000 $ 📍 Mexico Active…
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