AimFast.Dev Daily | 2026-07-21

> Today's Coding: Distilled from 543 signals, focusing on 3 buildable directions + 3 consumer opportunities

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AimFast.Dev Daily | 2026-07-21

Today's Coding: Distilled from 543 signals, focusing on 3 buildable directions + 3 consumer opportunities

📝 Editor's Note

Three topics are dominating discussions today: China's open-source AI is winning (723 HN comments), a bowling system replaced by ESP32 (333 comments), and a WordPress vulnerability selling for $500k (209 comments). But what's the real buildable signal? Not the grand narratives, not the technical flexing — it's "someone built a desktop AI writing tool with style extraction and a skill marketplace" — this 42-point signal from w2solo, despite having 0 discussions (community posts aren't weighted by reply count), points to a genuine pain point and a shipped product.

Who pays first? Independent web novel authors — they face daily output demands of 5,000-10,000 words, and general-purpose AI chat is nearly unusable for long-form writing. Why this week? Kimi K3's release (2.8 trillion parameters) has pushed open-source model capabilities up again, but stronger models don't mean better writing experiences — the ability to organize long text is still missing.

The real hard work: not tuning the model, but designing an interaction system that lets authors maintain context and manage chapter-level foreshadowing. Is a $19 "long-form management checklist + template" worth it? For a web novel author updating 300,000 words a month, absolutely.

🎯 Today's 2-Hour Build

Product: LongForm Context Manager

One-liner: A Chrome extension that automatically detects your conversations in any AI writing tool (ChatGPT, Claude, Kimi), extracts key characters, locations, and plot threads, and generates a visual "chapter relationship map" — preventing you from forgetting Chapter 3's setup by Chapter 5.

Supporting Evidence:

  • Goink's author on w2solo explicitly describes: "General AI chat for long-form writing is a complete disaster — by Chapter 5 you've forgotten Chapter 3's characters, and plot threads are scattered across hundreds of chat records"
  • This post scored 42 points (highest today), with a perfect 5/5 on actionability
  • HN's "Human mathematicians are being outcounterexampled" (32 points, 2 platforms) hints at human cognitive bottlenecks in long-sequence reasoning

Why Not the Other Two Candidates:

  1. ❌ ID Photo to PDF Tool (40 points): Strong consumer signal, but plenty of existing solutions (phone-native scanning, Adobe Scan). Limited differentiation space, and buyer clarity is low (who actually pays for this?)
  2. ❌ ESP32 Bowling System (38 points, 333 comments): High technical complexity, but the buyer is extremely vertical (bowling alley owners). A solo developer can't cover sales and deployment costs.

Pricing:

  • $4.99 one-time (Chrome extension)
  • Or $2.99/month (includes cloud-synced chapter data)

Fastest Validation Path (doable today):

  1. Post on r/writing, r/novelwriting: "When writing long-form, what information do you most often lose? Character names? Timeline? Plot threads?" (collect 10 specific pain points)
  2. Create a 5-question Google Form with a screenshot prototype (Figma or hand-drawn)
  3. If you get 20+ valid responses within 24 hours, build the MVP immediately

Counter-view: If your target user isn't a web novel author but an academic paper writer or technical documentation writer, this need may not exist. Web novel authors have low willingness to pay (platform revenue-sharing model, generally low income). $4.99 might be too high.

📊 Today's Top 3 Signals

Signal 1: China's Open-Source AI Strategy "Wins" + Kimi K3 Launch

  • Source: HN (723 comments) + w2solo (34 points)
  • Key Data: 723 discussions across 2 platforms, Kimi K3 with 2.8 trillion parameters
  • Plain English: Open-source models (DeepSeek, Qwen, Kimi) are shifting from "followers" to "leaders." This means AI infrastructure costs will keep dropping, but application-layer competition will intensify — models are getting cheaper, but the problem of using them well remains unsolved
  • Key Judgment: Don't build models. Build the organization layer on top of models (like Goink's writing context management tool)
  • Counter-view: If the capability gap between open-source and closed-source models narrows quickly, closed-source models (GPT-5.6, Claude 4) might counterattack with API price cuts, squeezing margins for "model wrapper" products

Signal 2: 16 Million One-Person Companies + 73% Revenue Growth + 80% Earning Under 5k

  • Source: w2solo (38 points)
  • Key Data: China has 16 million one-person companies, accounting for 27.4% of all business entities, with 47% YoY growth in 2025
  • Plain English: The number of indie developers is exploding, but most aren't making money — this is a massive "tools + education" market, not a "sell SaaS to enterprises" market
  • Key Judgment: Products targeting indie developers must be priced under $19/month (since 80% earn less than 5k monthly), and deliverables must be "immediately usable" templates/checklists/reports, not long-commitment SaaS
  • Counter-view: If AI tools further lower the development barrier, indie developer numbers will keep growing, but average income may continue to drop — tools that "teach people to make money" might be more profitable than tools that "help people make money"

Signal 3: Chrome DevTools MCP Explodes (47,266 stars)

  • Source: GitHub Trending (34 points)
  • Key Data: 47,266 stars, 312 days, Chrome DevTools + MCP (Model Context Protocol)
  • Plain English: This project lets AI coding agents directly control Chrome's developer tools — developers are using AI to automate web debugging and testing
  • Key Judgment: This is a clear B-side developer tool signal — "AI + browser automation" is becoming a new infrastructure layer. Buildable products: AI automated testing tools, AI web screenshot comparison tools, AI performance audit reports
  • Counter-view: 47k stars ≠ 47k paying users. This project is maintained by Google, the community edition is free. Commercialization space may be in enterprise versions (compliance, auditing, team collaboration)

📖 Plain English Brief

One-Sentence Core Judgment

Long-form AI writing tools + one-person company tools + browser automation = today's three buildable directions

Evidence Table

| Evidence | Discussion Volume | Plain English Meaning | |----------|-------------------|----------------------| | Goink desktop AI writing tool (42 pts) | 1 w2solo post | Long-form novel authors need specialized context management tools; general AI chat won't cut it | | 16M one-person companies in China (38 pts) | 1 w2solo post | Indie developer numbers are exploding but income is low; need low-cost tools and educational products | | Chrome DevTools MCP (47k stars) | GitHub Trending | Developers want AI to automatically operate browsers for debugging and testing | | China's open-source AI "wins" (38 pts) | 723 HN comments | Open-source models are getting stronger; application-layer opportunities are expanding | | WordPress RCE vulnerability sold for $500k (32 pts) | 209 HN comments | AI-assisted vulnerability discovery is becoming a new industry, but with extremely high risk |

Reader Action Table

| Role | What to Do | |------|------------| | Tech Enthusiast | Try Chrome DevTools MCP — see if you can use AI to auto-screenshot your webpage | | Builder | Today, build a $4.99 "Long-Form Context Manager" Chrome extension prototype | | Cautious | Don't chase the "China open-source AI" hype — that's the big players' battlefield, you won't win |

🔍 Discovery Opportunities

Solo-founder Product Launches

Signal 1: Goink Desktop AI Writing Tool 🔍 Signal: An indie developer on w2solo built a desktop AI writing tool with a "six-dimensional memory system" and "style extraction" to solve the context-loss problem of general AI chat for long-form writing. 99 GitHub stars. Plain English: Web novel writers need chapter-level context management, not conversational AI. Goink's direction is right, but 99 stars means it's still early stage. Key Judgment: This direction is better suited for a Chrome extension version (lightweight, low barrier) rather than a desktop app (high download/install cost). Target users are web novel authors. Validation path: r/novelwriting and Qidian Chinese novel author groups. Counter-view: Web novel authors may be more comfortable with Word or specialized writing software (like Scrivener). AI writing tools are "icing on the cake" for them, not a "lifeline."

Signal 2: ID Photo to PDF Scanner 🔍 Signal: Someone on V2EX recommended a tool that converts casually-taken ID photos into 1:1 printable PDFs. 3 replies. Plain English: Ordinary people need to turn phone-taken ID photos into standard-size prints — for print shops, visa applications, form filling. Key Judgment: This is a classic consumer opportunity, but competition is fierce (phone-native scanning + Adobe Scan + Tencent Scanner). Differentiation point: auto-crop to standard ID photo sizes (1-inch/2-inch/passport size), one-click print layout (8 photos on a 4×6 sheet). Counter-view: Users might only search for this once when needed, not use it long-term. Priced at $2.99 one-time, but customer acquisition cost may exceed revenue.

Signal 3: 3D Fortune-Casting Cultural Experience Website 🔍 Signal: Someone on w2solo built an online 3D fortune-casting website, inspired by the movie The Pig, the Snake, and the Pigeon. 32 points. Plain English: A fun consumer micro-product that turns traditional Chinese culture (casting fortune blocks to ask the gods) into a 3D interactive experience. Key Judgment: This is a cultural IP + light interaction model. Replicable to other cultural symbols: fortune sticks, matchmaker's red thread, Guan Gong's fortune slips. Monetization: ads (when traffic is high) or $0.99 to remove ads. Counter-view: This product's traffic relies on social media virality, which is highly volatile. If the movie's buzz fades, traffic could drop to zero.

Surging Search Terms

No significant findings today. All search trend signals (AI code assistant, Mistral) scored below 15 points, with insufficient change to constitute an action signal.

Fast-Growing GitHub Open-Source Projects

1. ChromeDevTools/chrome-devtools-mcp (47,266 stars) 🔍 Signal: Google-official MCP server that lets AI coding agents control Chrome DevTools. 34 points. Plain English: This is infrastructure for AI automated testing. Developers can use natural language to have AI operate the browser: screenshot, inspect elements, execute JavaScript, analyze network requests. Key Judgment: This project hints at a clear B-side product direction: AI web automated testing platform. Price at $29/month, target users are engineering leads at small product teams. Validation path: Launch an MVP on HN Show HN (a simple AI test script generator). Counter-view: Google might build this functionality directly into Chrome, leaving no room for third-party tools.

2. HKUDS/nanobot (45,938 stars) 🔍 Signal: Lightweight open-source AI agent for tools, chat, and workflows. 32 points. Plain English: An open-source AI agent from the University of Hong Kong team that can connect various tools and chat services. Key Judgment: This is another player in the AI agent framework space. But 45k stars means high attention and fierce competition (AutoGPT, LangChain, CrewAI, etc.). Don't build a framework — build vertical applications on top of nanobot (e.g., customer service agent, document Q&A agent). Counter-view: Star counts on open-source frameworks don't equal user counts. Many stars might be "bookmark for later" — actual active users could be very few.

3. oso95/scroll-world (4,397 stars, 14 days) 🔍 Signal: An AI skill that turns any brand into a scrollable 3D world. 32 points. Plain English: This is a 3D brand experience generator. Input a brand name, AI automatically generates a 3D scene that users scroll through. Key Judgment: This is a consumer opportunity: letting ordinary people create 3D showcase pages. Price at $4.99 one-time, target users are small businesses, content creators, wedding planners (for portfolio showcases). Validation path: Launch "AI 3D Brand Showcase Page Generator" on Product Hunt. Counter-view: 3D displays may have slow load times and poor mobile experience. Brands may prefer professional designers over AI-generated content.

What Developers Are Complaining About

1. "After building a fintech product, I started fearing a 'complete' look" 🔍 Signal: An indie developer on w2solo building a cross-border remittance comparison tool complains that a "complete-looking" product actually reduces user trust. 32 points. Plain English: For financial products, over-designing actually lowers trust. Users want to see a product that's "not yet perfect but has core functionality," not a "looks like a scam" polished page. Key Judgment: This is the UI vs. trust paradox — for financial/healthcare/government products, roughness actually increases credibility. When building such products, deliberately retain some "imperfect" traces (manually updated data, non-standardized fonts). Counter-view: This complaint might only apply to the early validation stage. Once the product scales, users expect professionalism and reliability.

2. "Built a static website deployment tool" 🔍 Signal: Someone on w2solo built a static website deployment tool for non-technical users (htmltowebsite.com). 28 points. Plain English: Non-technical users want to deploy a simple static website (personal homepage, product landing page) but don't know how. This tool aims to solve that. Key Judgment: This space is covered by Vercel, Netlify, GitHub Pages, but their barrier is still too high (requires Git knowledge). Differentiation point: drag-and-drop deployment — upload a ZIP file, automatically generate an accessible URL. Counter-view: Non-technical users might not even know what a "static website" is. Their need is "make a website," not "deploy a static website."

3. "SERP API error handling: 5 production-grade retry and degradation patterns" 🔍 Signal: Someone on w2solo shared error handling experience with SERP APIs (search engine results page APIs) in production. 26 points. Plain English: When calling search engine APIs, you frequently encounter network jitter (1-2 times/week) and rate limiting (2-3 times/week), requiring complex retry and degradation logic. Key Judgment: This is a B-side tool opportunity: SERP API proxy/caching service. Price at $9/month, target users are indie developers building SEO tools and competitive analysis tools. Validation path: Launch "SERP API Proxy — auto-retry + caching + degradation" on HN. Counter-view: This need might be too niche. Most SERP API users (like SEO agencies) have already accepted occasional failures and won't pay for "more stability."

🛍️ Consumer Opportunities (v2.1 New — Must-Read Section)

Top 3 Consumer Signals

1. Long-Form AI Writing Assistant (Desktop) → Consumer Version: Web Novel Writing Chrome Extension

  • Signal: Goink desktop AI writing tool (42 points, w2solo)
  • Plain English: Ordinary web novel writers (non-programmers) need AI to help them manage characters, plot threads, and timelines in long-form fiction. General AI chat can't do this — each conversation is independent, with no "memory."
  • Who Pays: Web novel authors (on Qidian, Jinjiang Literature City, Tomato Novel). They write 5,000-10,000 words daily and need tools to maintain consistency.
  • Pricing: $4.99 one-time (Chrome extension) or $2.99/month (with cloud sync)
  • Validation Path: Post on r/writing, r/novelwriting: "When writing long-form, what information do you most often lose?" Collect 10 specific pain points → Create Figma prototype → Get feedback on Reddit and Zhihu's web novel section
  • Why the Daily Missed It Before: Because the scoring formula's actionability dimension (5/5) and consumer_appeal dimension (5/5) were both high, but the volume dimension (0 discussions) dragged down the total score. Looking only at the total score would miss this high-value consumer signal.

2. ID Photo to PDF Scanner → Consumer Version: One-Click ID Photo Layout & Print Tool

  • Signal: V2EX product launch (40 points)
  • Plain English: Ordinary people need to turn phone-taken ID photos into standard sizes, laid out and ready to print. Everyone has encountered this — at print shops, for visa applications, filling out forms.
  • Who Pays: Ordinary people who need to print ID photos (college students, job seekers, visa applicants). They might use it 1-2 times a year.
  • Pricing: $2.99 one-time (no subscription) or free with ads
  • Validation Path: Post on V2EX, Zhihu, Xiaohongshu: "How do I print phone-taken ID photos in standard size?" → Offer a free online tool (no registration required) → Add watermark on export to guide paid conversion
  • Why the Daily Missed It Before: Because the buyer_clarity dimension (1/5) was low — it's hard to say "who would pay for this." But from a consumer perspective, the answer is "everyone who needs to print ID photos" — a massive traffic market.

3. 3D Fortune-Casting Cultural Experience → Consumer Version: Cultural IP Interactive Mini-Game Series

  • Signal: w2solo's 3D fortune-casting website (32 points)
  • Plain English: Inspired by the movie The Pig, the Snake, and the Pigeon, a developer built an online 3D fortune-casting experience. Users can cast fortune blocks to ask the gods, just like in a temple.
  • Who Pays: Young people interested in traditional culture (Xiaohongshu/Douyin users). They share these fun interactive experiences with friends.
  • Pricing: Free (ad-supported) or $0.99 to remove ads + unlock more cultural experiences (fortune sticks, matchmaker's red thread, etc.)
  • Validation Path: Launch "3D Cultural Experience Series" on itch.io → Launch on HN Show HN (HN favors minimalist, creative personal games) → Post on Xiaohongshu: "Online fortune casting — helps you make decisions"
  • Why the Daily Missed It Before: Because the scoring formula's actionability dimension (5/5) was high, but the volume dimension (26 comments) and cross_platform dimension (1 platform) were low. From a consumer perspective, this is a classic "social media viral" product that doesn't need massive initial discussion.

Replicable Pattern

From the three consumer signals above, a pattern emerges:

"AI enhancement + ordinary person's pain point + one-time payment"

  • Pick a specific, repetitive, but not-too-big pain point ordinary people face in daily life (writing long-form, printing ID photos, making decisions)
  • Use AI to enhance the experience (auto-extract chapter info, auto-crop and layout, generate 3D interactions)
  • Price at $2.99-4.99 one-time, no subscription
  • Validation path: Post on Reddit or Xiaohongshu to collect pain points → Build MVP → Launch on App Store/Chrome Web Store/itch.io

The key to this pattern: the pain point must be "I need to solve this today," not "I might need this later."

🛰️ Tech Stack

Major Company Shutdowns/Downgrades

No significant findings today. No clear signals of major company shutdowns or downgrades detected.

Fastest-Growing Developer Tools

1. Chrome DevTools MCP (47,266 stars) 🔍 Signal: Google-official MCP server that lets AI control browser DevTools. 34 points. Plain English: This is infrastructure for AI automated testing. Developers can use natural language to have AI operate Chrome. Key Judgment: The tool itself is free, but paid products can be built around it: AI test case generator, AI performance audit report, AI cross-browser screenshot comparison. Counter-view: Google might build this functionality directly into Chrome DevTools, leaving no room for third-party extensions.

2. I've launched 4 SaaS startups this year - my template (DEV community, 34 points) 🔍 Signal: A developer shared their template for launching 4 SaaS startups this year. 10 upvotes / 3 comments. Plain English: Someone shared a SaaS launch template on DEV, indicating that SaaS launching is becoming templatized. Key Judgment: This is a B-side tool opportunity: SaaS launch template marketplace (like ThemeForest but for SaaS). Price at $29/template, target users are indie developers. Counter-view: Template marketplaces are already saturated (Gumroad, ThemeForest, WrapBootstrap). Differentiation is hard.

Hottest HuggingFace Models → Consumer Product Opportunities

No significant findings today. Model dynamic signals mainly came from w2solo (API relay service) and HN (vulnerability discovery), with no clear signals from HuggingFace model leaderboards.

Important Open-Source AI Progress

1. Kimi K3 Launch (2.8 trillion parameters) 🔍 Signal: w2solo + HN discussions (34 + 38 points). Moonshot AI released Kimi K3 with 2.8 trillion parameters. Plain English: Open-source model parameter scales are being refreshed again. Kimi K3's parameter count is 10x that of GPT-4, but training cost is reportedly only 1/10 of GPT-4's. Key Judgment: Model capability improvement is outpacing the application layer's ability to absorb it. The application-layer opportunity lies in: how to let ordinary people use these increasingly powerful models (like Goink's writing context management). Counter-view: Parameter growth may face diminishing returns. Bigger models aren't necessarily smarter — just more expensive.

2. Trump Administration Considering Ban on Chinese AI Models 🔍 Signal: Google News (28 points). Reports indicate the Trump administration is considering banning Chinese AI models (like Kimi K3). Plain English: US-China AI decoupling may accelerate. This means Chinese open-source models may not be usable in the US — US developers need to find alternatives. Key Judgment: This is a B-side opportunity: Chinese AI model US alternative index/evaluation tool. Price at $9/month, target users are US enterprises needing compliant AI usage. Counter-view: The ban might not be implemented, or could be blocked by courts. This is a high-policy-risk direction.

🏭 Competitive Intelligence

Indie Developer Revenue & Pricing Discussions

Signal: 16M One-Person Companies + 73% Revenue Growth + 80% Earning Under 5k 🔍 Signal: w2solo (38 points). China has 16 million one-person companies, 73% of indie developers saw revenue growth, but 80% earn under 5k monthly. Plain English: Indie developer numbers have exploded by 47%, but most aren't making money. This is a "tools + education" market, not a "sell SaaS to enterprises" market. Key Judgment: Products targeting indie developers must be priced under $19/month. A better model: $9 one-time report + $9/month for ongoing updates. Validation path: Launch "Indie Developer Revenue Growth Checklist" ($9) on w2solo. Counter-view: If AI tools further lower the development barrier, indie developer numbers will keep growing, but average income may continue to drop. Tools that "teach people to make money" might be more profitable than tools that "help people make money."

Signal: 400+ downloads, 0 revenue 🔍 Signal: DEV community (14 points). A developer shared that their product had 400+ downloads but zero revenue. Plain English: Downloads don't equal revenue. Many developers build products but can't monetize. Key Judgment: This is a classic pricing and monetization problem. Advice: Charge from day one — even $2.99 is better than free. Free users don't convert to paying users. Counter-view: Some products do need a free version to accumulate users (social products, platform-type products). But most tool-type products don't.

Dormant Old Projects Suddenly Revived

No significant findings today. No clear signals of old project revivals detected.

"XX is Dead" or Migration Articles

No significant findings today. No clear "XX is dead" or migration articles detected.

📈 Trend Judgment

This Week's Most Common Technical Keywords & Changes

  • AI agent: Consistently high frequency (Chrome DevTools MCP, nanobot, last30days-skill)
  • MCP (Model Context Protocol): Newly trending (Chrome DevTools MCP 47k stars)
  • Open-source models: Consistently high frequency (Kimi K3, Qwen 3.8, DeepSeek v4)
  • One-person company/OPC: Trending in Chinese communities (16M one-person companies post)
  • Long-form context: Newly trending (Goink's six-dimensional memory system)

VC and YC Topics of Interest

No significant findings today. No clear VC/YC focus signals detected.

Cooling AI Search Terms

No significant findings today. No clear cooling signals detected.

New Word Radar

MCP (Model Context Protocol): Transitioning from a technical term to infrastructure. Chrome DevTools MCP's 47k stars indicate that letting AI control existing tools is becoming a mainstream direction. This isn't a product you can build, but you need to understand it — because it will change how you build products.

🎬 Action Triggers

2-Hour Build (Detailed)

Direction: Long-Form AI Writing Assistant Chrome Extension

Why This Direction:

  • Today's highest-scoring signal (42 points) points to this need
  • Target users are clear (web novel authors), validation path is clear (Reddit r/writing)
  • Low competition (Goink only has 99 stars — market gap)
  • Low technical barrier (API calls + local storage, no model training needed)

What You Can Do in 2 Hours:

  1. 30 minutes: Post on r/writing: "When writing long-form, what information do you most often lose?" (collect pain points)
  2. 30 minutes: Use Figma or hand-draw 3 core interface screenshots (chapter list, character relationship map, plot thread tracker)
  3. 30 minutes: Create a 5-question Google Form with screenshots attached
  4. 30 minutes: Launch "LongForm Context Manager - Manage Your Long-Form AI Writing Context" on HN Show HN

If You Get 20+ Valid Responses in 24 Hours, build the MVP the next day:

  • Chrome extension: Monitor AI writing tool conversations, extract key information
  • Local storage: User data stays on their machine — no server needed
  • Core functionality: Auto-identify character names, locations, timelines; generate visual relationship maps

Pricing: $4.99 one-time

Pricing & Monetization Model Research

Today's Key Finding: 80% of indie developers earn under 5k monthly, meaning B2B pricing must be under $19/month.

Three Viable Pricing Models:

  1. $9 one-time report: e.g., "Indie Developer Revenue Growth Checklist"
  2. $9/month ongoing updates: e.g., "AI Writing Context Management Extension"
  3. $29 one-time template: e.g., "SaaS Launch Template"

Don't Do: Subscription plans above $49/month (target users can't afford it)

Today's Most Counter-Intuitive Finding

"After building a fintech product, I started fearing a 'complete' look"

The counter-intuitive point: We usually think the more complete a product looks, the better. But for financial/healthcare/government products, over-designing actually lowers trust.

This means:

  • When building such products, deliberately retain some "imperfect" traces
  • Manually updated data is more trustworthy than auto-updated data
  • Rough UI might convert better than polished UI

Builder Action: If you're building a financial/healthcare/government product, make the UI "rougher" today.

Product Hunt & Developer Tool Overlap

No significant findings today. No overlap signals between Product Hunt and developer tools detected.

🔗 Sources

  • [w2solo] Goink Desktop AI Writing Tool: https://w2solo.com/topics/7801
  • [V2EX] ID Photo to PDF Tool: https://www.v2ex.com/t/1228660
  • [HN] China's open-weights AI strategy is winning: https://news.ycombinator.com/item?id=48979269
  • [HN] I replaced a $120k bowling center system with $1,600 in ESP32s: https://news.ycombinator.com/item?id=48968606
  • [w2solo] 16M One-Person Company Report: https://w2solo.com/topics/7803
  • [GitHub] Chrome DevTools MCP: https://github.com/ChromeDevTools/chrome-devtools-mcp
  • [GitHub] nanobot: https://github.com/HKUDS/nanobot
  • [GitHub] scroll-world: https://github.com/oso95/scroll-world
  • [w2solo] Fintech Product Complaint: https://w2solo.com/topics/7802
  • [DEV] 4 SaaS Launches Template: https://dev.to/...
  • [HN] WordPress RCE with GPT-5.6: https://news.ycombinator.com/item?id=48969523
  • [w2solo] 3D Fortune-Casting Website: https://w2solo.com/topics/7804

— AimFast.Dev Daily