ExaltAI

AI tools, automation, coding agents, and creator workflows.

AIツール・自動化・AIエージェント・制作ワークフローを比較。

個人クリエイター / ソロ事業者向けに、使えるAIツールと組み合わせ方を整理しています。

[ExaltAI @AIcreator_nexus]

Building an AI tools comparison hub.

I compare:
- AI coding tools
- automation tools
- AI agents
- video generators
- website builders
- ChatGPT alternatives

Goal:
choose better tools, faster.

[Elaya @elayadesigns]

Higgsfield + Cursor Composer 2.5 + my custom landing-page-design-skill.md file.

skill: https://t.co/Gs1RT1BZxi

[Nicholas Mugalli @RealNickMugalli]

AppLovin CEO is trying to counter Anthropic’s CEO claims that SaaS is DEAD and never coming back.

$APP is not an ad network. It is not a gaming company. It is an arbitrage engine with 400 engineers, $1.3 billion in cash flow per quarter, and a capital allocation track record that belongs in a business school curriculum.

Start with the gaming studios. From 2018 to 2023, AppLovin acquired over 15 mobile gaming studios and 1,500 people.

Nobody understood why. The answer was data.

Third party advertisers would not share their conversion and ROAS data with AppLovin's model.

So AppLovin became a first party advertiser — running its own games, generating its own behavioral data, feeding that data into Axon, its deep learning ad model.

The studios were not a business. They were a training set. The moment Axon 2.0 launched in April 2023 and proved so effective that the entire gaming industry had to plug in and share their data to access the returns, the studios had served their purpose.

AppLovin sold the entire portfolio to Tripledot and moved on. They used the asset to build the moat and immediately dumped the asset. That is not a pivot. That is a premeditated extraction.

The 2022 buyback is the capital allocation move that defined the company's trajectory. The market had pushed AppLovin's market cap to $3.8 billion.

The business was printing over $1 billion in EBITDA. Instead of open market repurchases, management identified that private equity backers and early insiders controlled nearly 50% of the float and needed liquidity.

They bypassed the public market entirely, negotiated directly with those institutional holders, and executed a $6 billion leveraged buyback at the floor.

Foroughi estimates that single decision generated $50 to $60 billion in retained value for remaining shareholders as the stock recovered. One negotiation. One decision. $50 billion created.

The operating model is the part that should make every other tech CEO uncomfortable. AppLovin fired 40% of its workforce while growing revenue nearly 100% year over year. The C suite is four people—CEO, CFO, CTO, General Counsel. No CRO. No COO. No salesforce.

Over 80% of the codebase is now written by AI, multiplying the output of their best engineers by up to 100x. The product does not need to be sold.

Advertisers plug in, set a performance goal, and if the ROAS is positive they scale spend infinitely. The platform turns advertisers into blind arbitrageurs — they do not need to understand how it works, they just need to see the return.

The TAM expansion is the next leg. Axon perfected gaming monetization. It is now being pointed at ecommerce and local SMBs — markets orders of magnitude larger than mobile gaming. The model does not need a sales team to penetrate them. It needs inventory and intent signals. It is acquiring both.

The company has internal compensation triggers tied to a $1 trillion market cap. They went from $3.8 billion in 2022 to $154 billion today. The people running this business have done everything they said they would do, faster than anyone expected, with fewer people than anyone thought possible. That track record is the most important input in any forward model.

Betting against a team that turned a $3.8 billion floor into $154 billion in three years, with 400 people, no salesforce, and an AI model that the entire industry has to use — requires a very specific and defensible thesis.

Most of the people making that bet do not have one…stock is still being beaten to death…still not compelled. AI companies are just too good and getting better but interesting to see him come publicly to try to pump his stock

[EDINET DB @edinetdb]

お盆休み、1時間だけ空くなら、手元のAIに上場企業のデータベースを繋いでおくのはどうでしょう。

やることは無料のAPIキーを発行して、ClaudeやChatGPTに接続先を1つ足すだけ。それで上場3,913社の財務・大株主・セグメント・役員報酬が会話で引けるようになります。「自己資本比率70%以上でROE15%以上の会社」「トヨタを主要顧客にしている会社」のような聞き方です。

この先1週間で約1,000社の決算発表が控えます。環境ができた状態で迎えられます。
https://t.co/dCEiSicMnX

[チャエン | デジライズ CEO《重要AIニュースを毎日最速で発信⚡️》 @masahirochaen]

中国発で今バズっているAIエージェント「Manus」を使って、50個くらいのタスクを自動処理しているシーンがディストピア過ぎる。Deep Researchよりも高精度とのこと。SNS分析、投稿、金融取引、リサーチ、購入など同時に複数実行可能。今年はAIエージェント元年。詳細⇩

[猫せんせー @hukugyou_yo]

詐欺被害で約35億円の負債を抱え、
約6年で完済した矢沢永吉さん。

「人生終わった」と思い、
一度はお酒に逃げた矢沢さんが語る
金が欲しい理由が本質的すぎた。

お金があれば、避けられる嫌なことは多い。

・嫌な仕事を辞められる。
・無理な人間関係から離れられる。
・好きなことを、お金で諦めずに済む。

副業などでお金が欲しいのは
お金そのものじゃ��くて
こういう不安や不満をなくすため。

特に今はClaudeで仕事を自動化し、
空いた時間を自由に使いながら
稼ぐ人も増えている。

AIは、お金と時間の余裕を生み
人生の土台を強くしてくれる。

[Claude code研究ラボ @claudecode84]

ANTHROPICが公開した
「AIビジネス自動化」の
設計がヤバすぎる

人間が動くのは
24時間のうち約3時間

残りは10のAI役割が
勝手に仕事を回し続ける

構造はこれ👇

root
↓
3 builders
↓
tester ＋ critic
↓
queue
↓
scout
↓
rootへフィードバック

ただし、最初の3つだけは
人間が決める。

・誰が買うのか
・何を売るのか
・い��らで売るのか

ここを間違えると、

Claude codeは
「間違ったビジネス」を
完璧に自動化してしまう。

ここから
3人のbuilderが並列稼働

① 商品を作る
② LPを作る
③ 必要な連携を構築する

さらに完成したものを
そのまま公開しない。

testerが
「本当に動くのか？」を確認

criticが
「そもそも出す価値があるのか？」
を判断。

ダメなら容赦なく差し戻す

何も拒否しないゲートは、
ゲートではない

そして人間が再び登場するのは、
リリース前の最終承認

やることは、

「公開する / しない」

を決めるだけ。

その裏では、

コピーライターが
1週間分のコンテンツを作り、

queueが投稿を止めず、

scoutが24時間、
顧客の不満・需要を探し続ける。

最後にanalystが数字を分析。

その結果をrootへ戻して、
次の意思決定を書き換える。

つまり👇

作る
↓
検証する
↓
売る
↓
市場を見る
↓
数字を見る
↓
改善する
↓
また作る

ここまでAIでループさせる。

Claude Codeの
本当の強さは、
「1つのAIに全部やらせること」
じゃない

役割を分けて、
AI同士で仕事が
回る仕組みを作ること。

これを保存して
Claude Codeに貼れば
AI社員チームを作る
設計図として使えます👇

[Charlie Hills @charliejhills]

You installed Claude Code and stopped there.

35 add-ons that turn it into a company (links below):

If you're new to Claude Code.
Start here → https://t.co/YbdDKUJsSM

A SENIOR ENGINEER

1. superpowers
→ https://t.co/tGNwFVYsEa

2. agent-skills
�� https://t.co/n3GAaErDOH

3. karpathy-skills
→ https://t.co/z0R8ozhtmb

4. gstack
→ https://t.co/XPJ0gmpOIx

A PRODUCT DESIGNER

5. ui-ux-pro-max-skill
→ https://t.co/54NvwKmBix

6. taste-skill
→ https://t.co/gFud3Sa93j

7. impeccable
→ https://t.co/fFDkTq8wQR

A QA TESTER

8. Codex
→ https://t.co/PPPmwl9F1p (paid)

9. playwright-mcp
→ https://t.co/C9b2nZxiTF

10. skills
→ https://t.co/iR9fyxUFvL

A DOCS TEAM

11. markitdown
→ https://t.co/nJzODQKIDl

12. skills
→ https://t.co/Nj47wymxJR

13. frontend-slides
→ https://t.co/cjLcONPQIT

A MARKETER

14. marketingskills
→ https://t.co/ZyoMWfvgf8

15. claude-seo
→ https://t.co/h481BlnvgB

16. humanizer
→ https://t.co/3a9HKsFIYX

17. Apify
→ https://t.co/yn7rQKdnnz (paid)

A SOCIAL MANAGER

18. social-media-skills
→ https://t.co/ZwNtoUTdVm

19. ManyChat
→ https://t.co/vBo70XUjQK (paid)

20. GPT Image 2 →https://t.co/Ptbm54A58B (paid)

A MOTION DESIGNER

21. HiggsField
→ https://t.co/B3eLcc2Kn0 (paid)

22. hyperframes
→ https://t.co/ogS5d5ityj

23. OpenMontage
→ https://t.co/H8lDc70xNW

24. OpenCut
→https://t.co/9YLKSKYHCt

A RESEARCHER

25. Agent-Reach →https://t.co/1mFzc91H9X

26. last30days-skill
→ https://t.co/TdrSYOFQsT

27. NotebookLM
→ https://t.co/8ZW2a795nX (free)

AN OPS MANAGER

28. Notion MCP →https://t.co/OmXaT3B4iE (free)

29. github-mcp-server
→ https://t.co/ITX95VKOZJ

30. claude-mem
→ https://t.co/emHpdPtiUO

31. mem0
→ https://t.co/snaZn591kH

THE WHOLE AGENCY

32. agency-agents
→ https://t.co/9XD1C4BsmQ

33. awesome-claude-skills
→ https://t.co/hI8v1hrMkb

34. agents
→ https://t.co/0LNt2gpXGH

35. claude-skills
→ https://t.co/SqRj6vAzYh

What each one does is on the graphic.

Every repo is free. Five of the tools are paid.

Seven are ones I already run.

The rest are the ones I keep sending people.

[J.B. @VibeMarketer_]

https://t.co/rbVzTKPezE

[東大ClaudeCode研究所 @ClaudeCode_UT]

【保存版】
GPT-5.6 Solだけでハイエンドなサイトを作る手順が公開されています🔥

https://t.co/X1itDPvHSu

やっていることはこの3ステップ

・PinterestやLandbookから参考デザインを先に集める
・その画像をChatGPT Imagesに複数枚渡し、ジュニアデザイナーに指示するレベルまで具体的にプロンプトを書く
・背景とテキストを分離した8K画像を作り、Kling AIかSeedance 2.0でアニメーション化する

アニメーションの質を上げるコツも紹介されていて、動きの参考動画を渡して「同じ動きで」と指示する方が、言葉だけのプロンプトより精度が出るとのこと

参照素材をどれだけ具体的に渡せているかが、そのまま生成物の完成度に直結しています

AIっぽさが出るサイトと出ないサイトの差は、指示の解像度に集約されています

[Dipanshu Kushwaha @Dipanshu_AI]

INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 2 hour with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and bookmark it now.

[Arham Amin @arhamamiin]

Day 25 of learning AI bs from scratch

> spent time reading through Attention Is All You Need
> went back over attention, masking and positional encoding
> over laying code i had already written before
> kept nanoGPT open alongside it
> trained a small next-token prediction model
> a bunch of things that finally made more sense now

mostly reading and continuing the Transformer stuff from the last few days.

references:
https://t.co/ztazhPe3hF
https://t.co/Jv2uo8lf94

deploying a usable llm soon and wrapping this up, then let’s see what comes next >

[J.B. @VibeMarketer_]

this might be the most important visual you see today.

everyone is obsessed with bigger context windows.

almost nobody is asking what deserves to enter them.

the real work happens before the model starts:

> select what matters
> order it correctly
> compress without losing the lesson
> pin the rules that cannot move
> cache what every agent will need

now zoom out one level.

your company has the same problem.

every decision, correction, example, and workflow is fighting for attention across dozens of private chats.

a Company Brain assembles the right context before the work begins and makes what the team learns available to the next person and the next agent.

the full build is in the article below:

[carpe @ftcarpe]

este tipo acaba de exponer cómo está usando Claude Code + YouTube para ganar $97k/mes.

menos de 15 minutos que valen la pena ver, guardalo para más tarde🙇🏻‍♂️

[Rishi @RishiUvaach]

There are two kinds of people in the AI era.

One says: “I’m not good at coding.”

The other opens Cursor + Claude Code, builds a rough first version, breaks a few things, fixes them, and keeps moving.

That gap is becoming more important than the skill gap itself.

AI does not magically make everyone a developer, designer, writer, researcher, or entrepreneur.

What it does is dramatically reduce the distance between “I have an idea” and “I built something.”

And that changes the game.

Can’t code? → Cursor + Claude Code

Can’t build an app? → Lovable + Bolt

Can’t design UI? → Figma AI + Uizard

Can’t edit videos? → Runway + CapCut AI

Can’t research fast enough? → Perplexity + Genspark

Can’t write well? → Claude + Jasper

Can’t build AI agents? → n8n + Flowise

Can’t automate repetitive work? → Zapier + Make

Can’t create presentations quickly? → Gamma + Canva AI

Can’t brainstorm? → ChatGPT + Gemini

Can’t learn fast enough? → NotebookLM + ChatGPT

Can’t grow on LinkedIn? → Taplio + AuthoredUp

Can’t build an online business? → Shopify Magic + Durable AI

The advantage is no longer knowing every tool.

The advantage is knowing which problem you are solving, which tool can remove the bottleneck, and how to connect those tools into a workflow.

So stop asking: “Which AI tool should I learn?”

Start asking: “What am I unable to do today that AI can help me do tomorrow?”

Then build. Test. Improve. Repeat.

AI will not replace effort.

But it is creating an enormous advantage for people who are willing to move before they feel completely ready.

[S✧ᜰ @He1s_Sammy]

THIS IS F**KING INSANE

CLAUDE CAN NOW TURN A SINGLE PROMPT INTO A FULLY ANIMATED YOUTUBE VIDEO.

No video editor.
No timeline juggling.
No jumping between multiple AI tools.

The secret is connecting Claude to a custom Model Context Protocol (MCP) setup.

From one prompt, the workflow can handle:

→ Script: Claude creates a structured, production-ready script
→ Voiceover: The script is converted into timed narration
→ Animation: Visual assets are generated, sequenced, and animated
→ Final video: Everything comes together as one workflow

Instead of copying prompts between 4 different apps, MCP lets Claude coordinate the tools needed to handle the entire production pipeline.

Prompt → Script → Voice → Animation → Video.

The interesting part isn’t just AI generating videos.

It’s having one interface orchestrate the entire workflow.

Bookmark this for when you build your next AI workflow.

[Parth @mittalparth_]

https://t.co/G8NMbPsOdG

[Andrew Ng @AndrewYNg]

New: A map of the most important skills in AI Engineering. https://t.co/VVkn1Dqp1N

[にも｜AIによって爆誕 @ai_ai_ailover]

https://t.co/q7wGoNnw1P

[MIKE @mikenevermiss]

this is f**king insane.

an 18-year-old found a roofing company on Google Maps with 4.9 stars and no website.

he copied their reviews, pasted them into ChatGPT 5.5, and within 2 minutes, had a complete brief for the website.

then he gave that to an AI coding tool and just watched it work.

the AI built the entire website, all the pages, the reviews, and even a booking button.

once it was ready, he called the owner and showed him the live preview.

the owner said yes almost immediately. he’d been meaning to fix his website for years but never had the time.

$1,000 invoice.

47 minutes from finding the business to closing the deal.

and then he realized he could turn the whole thing into a machine.

AI can now pull 200 businesses from Google Maps in minutes, use their real business data to write personalized emails, and help send hundreds of them every day.

even a 3% response rate can turn that into serious money.

he went from making around $4k in his first month to projecting $15k-$20k by month six.

the scary part isn’t that AI can build a website.

it’s that one person can now find the customer, build the product, sell it, and automate the outreach - all in the same afternoon.

there are millions of businesses on Google Maps that still need this.

[ExaltAI @AIcreator_nexus]

EU AI Act Article 50 is now applicable.

AI teams: free checklist for disclosure, synthetic-content marking, deepfakes/public-interest text, evidence + release ownership.

No signup:
https://t.co/pLjOy96PVq