One day=some day?UR laughably hilariously stupidly foolishly pathetically “gonna tell@man<seek>help(WERE MEN, WEMAKE OUROWN WAY, WEDONT SEEKHELP 4BLOODY CUMQWAT/ZZZOMBEEZZZ EVER PERIOD BLOODY PERIOD) ur gonna tell@man what 2do? AND IT WILL NOT 🐝 PRETTY4-u
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Jun 8
zhelda twiwight pwincess wemake pwetty pwease wiff a chewwy on top
ALT silly cat with one big buck tooth, drooling while holding a lollipop and wearing a helicopter hat
Join us on June 9 at 7am PT for a #NintendoDirect followed by Nintendo Treehouse: Live!
The Nintendo Direct will be roughly 50 minutes and Nintendo Treehouse: Live will be 95 minutes.
Watch here: ninten.do/6010v5TG2
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Wemake発のノーリツさんの製品、今日発売開始らしい。
価格が気になる〜
noritz.co.jp/company/news/20…
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あの時、優勝✨🥇🏆✨したアイデアが商品化🥰
工場見学では、当時5歳の息子を抱っこして周ってくれて、親切で会社愛のある人ばかりで素敵でした☺️お風呂愛🛀世界一な会社さん！
【祝・商品化！】Wemakeから生まれたアイデアが、カタチに｜Wemake @wemakejp #企業のnote note.com/wemake/n/n22a92e1c0…
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May 21
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May 20
気分転換にモデリング🐱
学びラボでも人材面で大変お世話になっています、副理事めぐさんのコミュニティ『Wemake』のインスタができたということでお祝いに🎉
サポニンサイズで3Dプリントして贈ろうかと思います。
instagram.com/reel/DYjPhXVw8…
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🤔 Wemakeで採択されたアイデアは、その後どうやってカタチになるの？
そんな疑問に答える、最高のニュースが届きました！
株式会社ノーリツさま主催のWemakeプロジェクトから、2件の商品化が決定いたしました🎉
商品化を記念し、インタビューメディア「新規事業Talks」に本プロジェクトが取りあげられております。
Wemakeのnoteとあわせて、ぜひご一読ください！
note.com/wemake/n/n22a92e1c0…
#ノーリツ #AQUA_OZONE #新規事業Talks #Wemake
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May 12
I kinda wish discord had a "story" feature id love to just post straight up bullshit and show it to people i barely know @discord @discord_support @discord_jp @TomCruise can wemake this happen?
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スンハン＆ソウルxnghan&xoulの初のミニアルバムに対するファンの反応が熱い。スンハン＆ソウルは1stミニアルバム『Glow』のタイトル曲「Glow」で様々な音楽番組のステージを披露しているほか、「DANCE SOCIETY」「from.x」「STAGE WEMAKE」などさまざまなYouTubeチャンネルにも出演した。
ポップハウスジャンルの「Glow」は一緒にいる瞬間私たちが再び輝き、お互いの存在によって人生の意味を新たに見つけていくという物語を込めた楽曲だ。
今回のアルバムはiTunesトップアルバムチャートでメキシコ、ブラジル、タイ、ポーランド、インドネシア、チリ、ケニア、コロンビア、フィリピンなど9地域で1位を獲得し世界18地域のTOP100入りを果たした。
海外メディアからも紹介された。イギリスのMTVが最近公開した新曲推薦プレイリストで唯一のK-POPアルバムとして紹介されたほかThe Bias List、Bandwagon、Manila Bulletin、Verge Magazineなど、さまざまな海外メディアから好評を得ている。
一方スンハンは5月8日にKBS2TV「ミュージックバンク」、9日にMBC「ショー！音楽中心」、10日にSBS「人気歌謡」など今週の音楽番組で「Glow」のステージを披露し活動を続けていく予定だ。
m.entertain.naver.com/home/a…
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Day 4/100
My favourite project is WeMake Inner Circle. It's a very innovative project to me because it bypass the standard limitations of the Google ecosystem.
It manages identity, storage, and data decay in real-time.
Firstly, the frontend; which was the most hardest to create but very intringing.
Most web apps hide content behind a login screen, but this project frontend goes further with a Deny-by-Default.
For Index.html UI,
I used window.onload to check for valid invite code in the URL or a user token in local storage.
If neither is found, JavaScript removes the login form from the Document Object Model (DOM), ensuring that even if someone inspects the element, the interactive parts of the Inner Circle disappears.
For the isolation of my code, I used a completely different HTML file via the doGet(e) function, making administrative logic invisible to the public.
To keep the chat real time despite Google Sheets' physical limitation and performance degradation, I used a Scalable Sharding Engine (SSE) to implements database pagination using a hidden system metadata sheet as the brainbox to store the active shard name, in the form of ChatDB_1.
So every time a message is sent, the backend checks the row count and, upon hitting 40,000 rows, it automatically creates a new sheet named ChatDB_[N 1], sets headers, and updates the metadata pointer, ensuring the fetchNewMessages function only scans a light sheet and keeps polling latency under 2 seconds.
Also, Google Apps Script lacks traditional file stream uploads, so i had to create a custom media pipeline which uses client-side encoding to convert media like HTML5 Audio or images into base64-encoded strings, it's then sent as text payloads for the backend to decode back into raw binary blobs using Utilities.base64Decode().
The blobs are then saved to a Google Drive folder, and the resulting Drive ID is returned to the chat and rendered via the google.com/uc?id= bypass, displaying media directly in message bubbles. It takes approx. 5 to 8secs.
The ephemeral nature of the whole network is maintained by a self-destruct sequence running on a time-driven trigger that utilizes backward indexing to loop through database shards from the bottom up, ensuring index stability while deleting rows.
The multi-cloud incineration then proceed to identify messages older than 24 hours and uses the content ID to find and trash linked files in Google Drive, wiping the digital footprint from both the database and storage simultaneously.
That's all,
Also, I used Vanilla JS and Tailwind CSS to keep my system readable and portable.
#GoogleAppsScript #Serverless #SoftwareArchitecture #ZeroTrust #DatabaseSharding #BackendEngineering #CloudComputing #WebDev #SystemDesign
#GhostNetwork #CyberSecurity #PrivacyTech #Ephemeral #InnerCircle #Encryption #DataDecay #SecureCommunication #Bootstrapping #SoloDev #TechInnovation #BuildInPublic
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Será que a Sofia vai no wemake hoje? Tô aqui na Barra do ladinho coçando pra comprar o ingresso
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Apr 30
[Projects] wemake-services/django-modern-rest
Modern REST framework for Django with types and async support! #djangonews
github.com/wemake-services/d…
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Apr 28
Deleted my post calling you retarded sorry. Your mixing words saying swap = us buying. Us holds dirhams for temp period. Dirhams already pegged to usd through massive reserves so its not fx mkt related. Swap is a swap aka liquidity line. And wemake money on interest.
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Apr 28
Every Data Engineer knows this.....
You open a database with 100s of tables and the hard part isn’t querying, it’s understanding. Which table is reliable, which column is actually “email”, is this field sensitive, can it even be used?
Now imagine an LLM's doing this.
That’s where things break. Even today we have everything in place data catalogs, AI over data, governance but they don’t actually control the model...
So when an LLM is plugged into a DB, it still guesses schema, ignores governance, and treats sensitive data like normal, just more confidently.
Seeing this I built Metagent on top of @open_metadata in @WeMakeDevs hackathon.
Instead of letting the model touch raw data, it forces it to reason through metadata first using OpenMetadata’s schema, lineage, and governance tags to validate structure, detect sensitive fields, and ground every response in real context.
Simple shift:
AI DB → guessing,
AI metadata → constrained inference...
@open_metadata
@wemake
@kunalstwt
Demo (a bit rushed, but it gets the point across)👇🏻
youtu.be/lUS8nAIjKWI
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