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adil

@adilatwork

👨🏼‍💻 Building apps you need | https://t.co/2gO1DaqZT7, https://t.co/rjkg0rW5ed, creatorbase (#4 PH product of the day) 🚀

Meatverse Katılım Şubat 2009
869 Takip Edilen271 Takipçiler
chester
chester@itsnotchester·
what if @mobbin was a source of logo inspo too...
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ertem
ertem@ertembiyik·
random access memories 👀
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rachodoodles
rachodoodles@rachodoodles·
Revamped my portfolio because it did not feel like “me” but this time, 4 hand-drawn stopmotion animations later, i think it’s as “me” as it gets. My brother said “now you seem like a crazy cat lady” 🤣 why not
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adil
adil@adilatwork·
@rachodoodles love this ! that must have taken ya ages to hand draw 🙌🏽
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James Ebringer
James Ebringer@JamesEbringer·
TIKTOK SLIDESHOW CLONER JUST DROPPED IN STUNT Paste any viral slideshow. AI recreates it with your character in 60 seconds. - Clone any viral slideshow - Unlimited content without making a single slide - Scale across multiple accounts and niches RT + "STUNT" and I'll DM the access to the first 500 People. (So be quick)
James Ebringer tweet mediaJames Ebringer tweet media
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adil
adil@adilatwork·
@itsnotchester gotta up them gym sessions too bruv :)
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chester
chester@itsnotchester·
feb was a good month! tho i kinda neglected climbing...
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adil
adil@adilatwork·
@david_attisaas recently launched no. 3 at roomsmith.ai , almost at a thousand users alr . took great pains to make the image models actually work well and reliably for interior to let you make small precise changes. check it out :)
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David Attias
David Attias@david_attisaas·
a few ideas (generated by grok): 1/ bible note-taker & prayer recorder: for churchgoers; ai sermon notes, prayer journaling; loyal faith users, viral in churches 2/ vinyl record scanner & pricer: for collectors; scan for valuation, cataloging; low comp, hobbyist ltv high, forum virality. 3/ ai home decor visualizer: for mid-century homeowners; room redesigns, ar previews; tiktok shares, premium style niches. 4/ christian couple relationship tracker: for faith-based pairs; devotionals, prayer logs; influencer growth, retention via streaks. 5/ fly fishing log & spot finder: for enthusiasts; gps catches, weather recs; outdoor loyalty, beats broad fishing apps. 6/ wardrobe outfit planner: for weather-sensitive pros; ai outfits from closet; daily use, fashion tiktok virality. 7/ ai receipt scanner expense tracker: for creatives; auto-categorize, tax preds; weekly pain, $5/mo subs scale fast. 8/ mushroom foraging guide & identifier: for foragers; ai mushroom id, maps/logs; seasonal loyalty, low comp in mycology. 9/ home brewing recipe optimizer: for beer hobbyists; ai tweaks, batch tracking; repeat brews, community shares. 10/ vintage car restoration tracker: for restorers; part logs, progress photos; niche passion, high arpu from enthusiasts. 11/ beekeeping hive management: for beekeepers; health monitoring, harvest preds; eco-trend, loyal apiary users. 12/ astrophotography planner: for stargazers; sky forecasts, gear tips; night sky communities, subscription unlocks. 13/ herbal remedy journal: for natural health fans; symptom tracking, recipe builder; wellness boom, daily engagement. 14/ sailing knot trainer & log: for sailors; ar knot tutorials, voyage journals; boating clubs, low comp niche. 15/ rare plant care scheduler: for collectors; ai reminders, growth tracking; plant tiktok, premium for exotics. 16/ metal detecting find cataloger: for treasure hunters; gps tags, value estimator; hobby forums, viral finds shares. 17/ quilting pattern designer: for quilters; ai patterns, fabric matcher; crafting groups, high ltv from creators. 18/ bird feeder cam analyzer: for backyard birders; ai species id, activity logs; nature apps, subscription for alerts. 19/ antique book valuation scanner: for bibliophiles; scan for prices, collection mgmt; low comp, collector loyalty. 20/ urban foraging map & guide: for city foragers; edible plant spots, recipes; sustainability trend, community growth.
David Attias@david_attisaas

the biggest opportunity in apps is in the tiny niches nobody's serving. everyone's building "habit trackers" or "meditation apps" saturated markets with billion-dollar competitors. the money is in: specific professions (plumbers app, dentists app), specific hobbies (quilt patterns app, bird watching app), specific life stages (new dad app, retirement planning app). these niches have less competition, higher willingness to pay, and more loyal users. a general habit tracker has 1000 competitors. a "sobriety counter for ex-smokers" has 3. go narrow.

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adil
adil@adilatwork·
@rachodoodles so much personality I looooove it 👀
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rachodoodles
rachodoodles@rachodoodles·
Spent so long to find a preview image that feels just right, and i think im finally satisfied with this! rachelatwork.com
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signüll
signüll@signulll·
okay, besides frontier labs, what’s the most anti fragile entity in the ai era?
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adil
adil@adilatwork·
@burkov @grok explain to me what I actually need to do here to use this info
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BURKOV
BURKOV@burkov·
LLMs process text from left to right — each token can only look back at what came before it, never forward. This means that when you write a long prompt with context at the beginning and a question at the end, the model answers the question having "seen" the context, but the context tokens were generated without any awareness of what question was coming. This asymmetry is a basic structural property of how these models work. The paper asks what happens if you just send the prompt twice in a row, so that every part of the input gets a second pass where it can attend to every other part. The answer is that accuracy goes up across seven different benchmarks and seven different models (from the Gemini, ChatGPT, Claude, and DeepSeek series of LLMs), with no increase in the length of the model's output and no meaningful increase in response time — because processing the input is done in parallel by the hardware anyway. There are no new losses to compute, no finetuning, no clever prompt engineering beyond the repetition itself. The gap between this technique and doing nothing is sometimes small, sometimes large (one model went from 21% to 97% on a task involving finding a name in a list). If you are thinking about how to get better results from these models without paying for longer outputs or slower responses, that's a fairly concrete and low-effort finding. Read with AI tutor: chapterpal.com/s/1b15378b/pro… Get the PDF: arxiv.org/pdf/2512.14982
BURKOV tweet media
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adil
adil@adilatwork·
@wabi build me an app for me to track my cat medication schedule and when I last fed my cat medication
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adil
adil@adilatwork·
@wabi build me an app for me to track my cat medication schedule and when I last fed my cat medication
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adil
adil@adilatwork·
@internetvin can I read this in a dark room?
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internetVin
internetVin@internetvin·
I ordered the Xteink X4 e-reader. Thank you for everything.
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kat kampf
kat kampf@kat_kampf·
We started internal testing some big updates to the @GoogleAIStudio experience today! Coming to you early next year but reply below if you’d like early access in the coming weeks 👀
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adil
adil@adilatwork·
@wabi but I still dont have access :(
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wabi
wabi@wabi·
The best apps are not universal - they’re intimate, n of 1 made for small groups, shared rituals, inside jokes, and real adventures. on wabi, you can now build mini apps just for your friend group.
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adil
adil@adilatwork·
@anumness timely reminder for today :)
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Anum 
Anum @anumness·
If you’re an indie dev reading this: someone out there needs your weird little app. Keep building.
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