AimFast.Dev Daily · 2026-09-26
> Of the 762 signals today, the loudest was the \"AI agent everything-bundle\" — but the most valuable were three unassuming consumer-side tools. This issue...
AimFast.Dev Daily · 2026-09-26
Of the 762 signals today, the loudest was the "AI agent everything-bundle" — but the most valuable were three unassuming consumer-side tools. This issue gives you one opportunity you can ship in 2 hours, three cross-platform-validated real signals, and three consumer product directions that the scoring formula systematically misses.
Product Opportunities · Signal Intelligence · Indie Developers — Today's core call: While everyone is adding "memory layers" and "control planes" to agents, the real willingness to pay shows up in the dirty work of "verifying what agents produce."
📝 Editor's Note
Today on Product Hunt, "AI agent memory layers," "agent control planes," and "agent-to-agent funding networks" together took up half the front page — a classic case of supply-side self-indulgence: people building agents making tools for people building agents. But the truly buildable signals are hiding elsewhere: someone on w2solo asked, "When you edit product images for your indie store, how do you verify the AI didn't change the wrong product?" (36 pts), someone on V2EX agonized over "My indie product has no revenue — is it worth buying Claude Max?" (14 replies), and a DEV article titled Indie makers build Productivity apps. The visits go to Food & Drink and Finance. directly exposed the mismatch between consumer traffic and developer supply.
Who pays first? E-commerce operators who batch-edit product images with AI but have to manually eyeball every single one — they're not worried the AI isn't strong enough; they're worried it silently changed the wrong product and they won't find out until it's live. Why this week? Because AI image-editing tools have gotten cheap enough for anyone to use, but the "verification" step is still done by human eyes. A $19 verification report isn't worth much — what's worth something is 30 seconds of automated comparison before every listing goes live. The genuinely hard work isn't tuning models; it's defining "what counts as a wrong edit."
🎯 Today's 2-Hour Build
ProductShot Diff — AI Image Edit Verifier (E-commerce Product Image Edition)
One-liner: Upload "original image + AI-edited image," automatically flag regions the AI mistakenly changed (product body, logo, text, color), and output an annotated image with red boxes + a Markdown verification report.
Supporting evidence:
- w2solo post "When you edit product images for your indie store, how do you verify the AI didn't change the wrong product?" — 36 pts, the only signal today that directly describes a paying pain point at the consumer/business boundary
- DEV article Indie makers build Productivity apps. The visits go to Food & Drink and Finance. — 32 pts, showing e-commerce/consumer traffic is flooding in but tool supply is insufficient
- Today's "developer complaints" category has only 7 items, 2 of which relate to AI output quality (the missing half of vibe coding, AI image-edit verification) — consistent direction
Why not the other two directions:
- Not "agent memory layer" (Maximem Synap / NOAN, 40-42 pts each): This is today's most crowded track — at least 3 similar products appeared on Product Hunt in a single day (Synap, NOAN, Opaline). As an indie developer, you'd be up against funded, staffed competitors, and the buyer is "AI teams" — long sales cycles, requiring technical trust背书. Doesn't fit "verifiable in 2 hours."
- Not "agent funding network" (Bleetz Network, 40 pts): The buyer is "AI founders who want to raise money" — a classic complaint group with no budget — and matchmaking products require two-sided cold start, which an indie developer can almost never crack single-handedly.
Pricing:
- $19 one-time: single verification report (upload 20 images, get annotated images + report)
- $9/month monitoring plan: 200 images per month, with history
- Anchor logic: price against "avoiding the returns/bad reviews from one wrong image going live" — a single return typically costs $15-40, so a $19 report is insurance
Fastest validation path (doable today):
- Create a Google Form with fields: original image link, edited image link, product type, the part you're most worried about being changed
- Reply under the original w2solo post: "I'm building this — first 20 verifications free, just send me your images" — the natural distribution path already exists; the affected people are right there in that thread
- Once you receive images, manually use image diff + eyeball review to output a Markdown report (don't jump straight into writing full-auto code)
- Within 7 days, check: >100 form visits + ≥5 real submissions → build the product; <30 visits → drop it, log it in your lessons file
Keep the MVP manual: The first version is just "you send images, I compare with tools + eyeball review, and send you a report." No upload UI, no account system. Google Form + Markdown is the entire deliverable.
Counter-perspective: If e-commerce platforms (Shopify, Taobao) build AI image-edit verification in-house, this product gets swallowed by the platform. Mitigation: serve merchants who "operate across multiple platforms and batch-edit images with third-party AI tools" first — they're not inside a single platform ecosystem, so the platform won't cover them.
📊 Today's Top 3 Signals
Signal 1: Whiteboard (YC W26) — 4-platform resonance, 129 discussions
Composite observation: An open-source "thinking-oriented software design IDE" (IDE = Integrated Development Environment, software for writing code) hit 396 pts / 129 comments on HN Show HN, appeared simultaneously on 4 independent platforms, and its GitHub repo devdotfast/whiteboard grew in sync.
Why it's a composite signal: A single-platform high score could be YC halo effect, but appearing on 4 platforms simultaneously means developers have a real need for "design-phase tools" — not another AI code-writing tool, but a tool for "clarifying your thinking before you write code."
Cross-reference: HN Show HN (396 pts / 129 comments) + GitHub Trending + multiple "build at the speed of thought" products appearing on Product Hunt around the same time (Wand, 112 votes).
Signal 2: Koi.rest — Watch fish to relax, 2-platform validation
Composite observation: A minimalist webpage for "restoring balance by watching fish" (Koi = koi fish), 42 pts, appeared on 2 independent platforms.
Why it matters: It forms the same pattern as today's HN "cursed fonts" (846 upvotes / 123 comments) and "Amiga Screens" (3 platforms) — anti-productivity, anti-AI, pure emotional-value retro/minimalist content is gathering attention. This is a consumer signal, not a developer tool.
Cross-reference: HN + 1 independent source; Amiga Screens appeared on 3 platforms the same day.
Signal 3: Kokoro-82M TTS model — 11.69 million downloads
Composite observation: hexgrad/Kokoro-82M on HuggingFace (an 82-million-parameter text-to-speech model — fewer parameters means lighter weight) has 11,695,126 cumulative downloads and 7,009 likes.
Why it's a composite signal: Download count is hard evidence of "intent to use," and it appeared in both today's "model updates" and "open-source progress" categories. A lightweight TTS model means ordinary people can run it on their own computers — this is the underlying fuel for consumer audiobook/podcast tools.
Cross-reference: HuggingFace model page + multiple audio-related consumer signals today.
📖 Plain-English Brief
One core call: Today's real opportunity isn't in "building tools for agents" — it's in "verifying AI output" and "packaging lightweight models into desktop tools for ordinary people."
| Evidence | Discussion volume | Plain-English meaning | |------|--------|---------| | Whiteboard 4-platform resonance | 396 pts / 129 comments | Developers want a tool to "clarify thinking before writing code," not another AI code generator | | w2solo AI image-edit verification post | 36 pts | Someone is worrying about "AI changing the wrong product image," and there's no ready-made solution | | Kokoro-82M downloads | 11.69 million | Lightweight voice models are already mainstream; what's missing is packaging ordinary people can use | | DEV Indie makers build Productivity apps… | 32 pts | Developers are all building productivity tools, but traffic went to consumer categories — supply-demand mismatch | | V2EX "Should I buy Claude Max?" | 14 replies | Indie developers are cost-sensitive about AI subscriptions and willing to pay for "money-saving tools" | | PixVerse R2 world model | 337 votes / 48 comments | A real-time explorable world model — a prelude to gaming/content consumer applications |
Reader action table:
| Reader type | What to do today | |---------|------------| | Tech enthusiasts | Go play with Koi.rest and Amiga Screens, understand why "anti-AI emotional value" gathers attention | | Builders | Reply to the original w2solo post and collect the first 20 AI image-edit verification requests — you can validate today | | Cautious types | Stay away from the agent memory layer/control plane track — 3 similar products popped up in a single day; it's a red ocean for sure |
🔍 Opportunity Discovery
Solo-founder product launches
🔍 Signal: Product Hunt had 71 new products today, of which jev-seo (free Rust CLI SEO/GEO audit tool, 116 votes / 11 comments) and DEV·TV (retro TV interface for GitHub/HN/HF, 137 votes / 15 comments) are typical solo works.
Plain-English read: "Free + no subscription" is becoming indie developers' differentiation weapon — jev-seo explicitly brands itself as "no subscription needed," striking directly at the pain point of paid SEO tools. DEV·TV packages "scrolling tech news" as a retro TV — a pure emotional-value product.
Key call: "Free tool + paid upsell" is currently the most reliable opening move for indie developers. jev-seo uses a free CLI to acquire users, then can sell "team reports" or "auto-fix suggestions."
Counter-perspective: The problem with free tools is extremely low conversion (usually <1%). If free users don't spontaneously ask "is there a paid version?" within 7 days, this audience has no purchasing power.
Search term spikes
🔍 Signal: Today's "search trend anomalies" category had no significant findings. The X/Twitter trending list was dominated by TV shows like Breaking Bad, The Wire, and Mad Men (35K-47K discussions each) — nothing tech-related.
Plain-English read: There's no clear search-term spike signal today, meaning today isn't a "chase the hype" day — it's a "do the dirty work" day.
Key call: When there's no search hype, the best strategy is to return to known, stable pain points (like AI image-edit verification) rather than chasing noise.
Counter-perspective: X trends being dominated by film/TV could just be a same-day coincidence — it doesn't mean tech topics are cooling. Don't over-interpret single-day data.
Fast-growing open-source GitHub projects (no commercial version)
🔍 Signal: Mak5er/AirCard (4,195 stars / 184 forks) — an Apple Wallet card-face beautification tool supporting iOS 18+, no jailbreak required.
Plain-English read: This is a pure consumer tool that helps ordinary people swap membership cards and boarding passes in Apple Wallet for custom skins. Its appearance on GitHub Trending shows "personalizing system UI" is a real need for ordinary users, and the existing solution (jailbreaking) has too high a barrier.
Key call: "System beautification without jailbreak/root" is an underrated consumer direction. AirCard is open-source and free, but similar needs (lock screen, icons, notification sounds) can all be turned into $4.99 one-time-purchase apps.
Counter-perspective: System beautification apps risk Apple review rejection (they touch system boundaries), and each major iOS version update may break them — requiring continuous maintenance, not "build it and collect passive income."
What developers are complaining about
🔍 Signal: Today's "complaint hotspots" had only 7 items, including the DEV article Vibe Was Never the Problem: The Missing Half of Vibe Coding (8 upvotes / 1 comment), which points out that "vibe coding (letting AI write code by feel) is missing the other half"; and someone on w2solo asking about AI image-edit verification.
Plain-English read: Complaints cluster around "AI output can't be trusted" — not that AI isn't strong enough, but that humans can't quickly verify whether AI did it right. This is the opportunity in the "verification layer."
Key call: You can build a product matrix around "AI output verification": image-edit verification, code diff verification, copy fact-checking verification. Start with the most concrete one: "product images."
Counter-perspective: The value of verification tools depends on AI error rates — if models keep getting stronger and error rates drop to negligible, verification demand shrinks. But in the short term (within 12 months), AI image-edit errors will remain the norm.
🛍️ Consumer Opportunities
Why the daily report missed this before: Because the scoring formula's
actionabilityandbuyer_claritydimensions naturally reward signals with "a clear B2B buyer + quantifiable ROI," while consumer products (Mac apps, Chrome extensions, games) have "ordinary users" as buyers — you can't name a specific role or calculate ROI, so they get systematically downranked. Today we fished 3 out of 163 c_end signals.
Consumer Opportunity 1: Kokoro Desktop Audiobook Maker
🔍 Signal: hexgrad/Kokoro-82M has 11,695,126 cumulative downloads and 7,009 likes — one of today's hottest HuggingFace models (36 pts).
Plain-English read: Kokoro is a lightweight text-to-speech (TTS) model with 82 million parameters, meaning an ordinary person's laptop can run it — no cloud API needed. What would ordinary people use it for? Converting ebooks, PDFs, and long articles into audiobooks to listen to during commutes.
Who pays (ordinary user roles): Commuters, students, visually impaired elderly people, parents who want to make bedtime stories for their kids.
Pricing: $9.99 one-time purchase (desktop app), or $4.99/month (with cloud-based high-quality voices).
Validation path (not a landing page): Post on Reddit r/audiobooks and r/selfhosted showing "I turned a PDF into an audiobook with a local model"; launch a free version on the Mac App Store (limited to 3 chapters) + in-app purchase to unlock.
Replicable pattern: "Lightweight open-source model + desktop app packaging" — the model is free, compute is free (the user's own computer), and what you sell is "ordinary people can use it without knowing the command line."
Consumer Opportunity 2: AirCard-style "no-jailbreak system beautification" paid version
🔍 Signal: Mak5er/AirCard 4,195 stars / 184 forks — Apple Wallet card-face beautification, no jailbreak required.
Plain-English read: Ordinary people want their phones to "look different," but jailbreaking is too risky. AirCard proves the demand exists, but it's free and only does Wallet card faces.
Who pays: Young iPhone users chasing personalization, ordinary users who like tinkering but are afraid to jailbreak.
Pricing: $4.99 one-time (unlock all card-face templates + custom upload).
Validation path: Post on Reddit r/iOSsetups and r/apple showing the results; post short videos on TikTok/Xiaohongshu like "This is what my Apple Wallet looks like" (consumer distribution relies on visuals, not text).
Replicable pattern: "Turn a free open-source tool into a polished paid app" — the open-source project validated the demand; you add "design + usability + template library."
Consumer Opportunity 3: Anti-AI emotional-value content site (Koi.rest model)
🔍 Signal: Koi.rest (watch koi to relax, 42 pts, 2 platforms) + Amiga Screens (retro computer interface, 38 pts, 3 platforms) + HN "cursed fonts" (846 upvotes / 123 comments).
Plain-English read: When everyone is bombarded by AI information, "doing nothing, just watching fish/retro screens" itself becomes a product. What would ordinary people use it for? Zoning out during work breaks, decorating a second screen, sleep aid.
Who pays: Remote workers, anxious office workers, people who love retro aesthetics.
Pricing: Free + $2.99 to remove ads / $9.99 annual (unlock more scenes: rain sounds, campfire, old TV static).
Validation path: Publish on itch.io (HN favors minimalist, creative personal works); launch on Product Hunt; post on Reddit r/InternetIsBeautiful.
Replicable pattern: "Minimalist emotional-value webpage + micro-payment ad removal" — extremely low production cost (a single HTML page), relying on organic social media spread.
🛰️ Tech Stack
Big companies shutting down/downgrading products
🔍 Signal: Today's "shutdowns and downgrades" category had no significant findings.
Plain-English read: No signals of big companies shutting down products, meaning today's competitive landscape is stable — no window to "grab users as big companies retreat."
Key call: When there are no shutdown signals, don't force a search for "replacement opportunities" — these opportunities need real product-offline events to drive them.
Counter-perspective: Shutdown signals often lag; they may appear tomorrow. Just keep watching.
Fastest-growing developer tools
🔍 Signal: Bitrise Build Hub (GitHub Actions runner, 2x faster builds for agents, 176 votes), Opaline (PostHog for team Claude Code/Codex sessions, 147 votes / 39 comments).
Plain-English read: CI/CD (Continuous Integration — the pipeline that automatically builds and tests code) is being redesigned for "AI agents writing code." Opaline is especially interesting — it monitors "the process of AI writing code within a team," making it an "AI output observability" tool.
Key call: "Observability for AI coding" is a real B2B need, but the buyer is "engineering teams using AI to write code," requiring enterprise sales — not suitable for an indie developer to crack single-handedly.
Counter-perspective: These tools depend on the API stability of Claude Code / Codex. If Anthropic/OpenAI launch their own session analytics features, third-party tools get swallowed.
Hottest HuggingFace models → consumer product opportunities
🔍 Signal: hexgrad/Kokoro-82M (11.69 million downloads, TTS).
Plain-English read: See Consumer Opportunity 1 above — this is today's clearest "model → consumer product" conversion path.
Key call: Consumer packaging of TTS models (audiobooks, podcasts, voice memos) is the lowest-hanging fruit right now, because the model is mature, user demand is clear, and the validation path is straightforward.
Counter-perspective: The audiobook market already has giants like Audible. Your differentiation must be "local processing, privacy, free" — if you compete on content library, you'll lose for sure.
Major open-source AI progress
🔍 Signal: odysseus-dev/odysseus (self-hosted AI workspace, 87,601 stars), heygen-com/hyperframes (write HTML to render video, built for agents, 53,081 stars / 4,841 forks).
Plain-English read: hyperframes is worth noting — "write HTML and render video" means ordinary people can make videos with web skills, without learning Premiere. This is infrastructure that "lowers the barrier to video production."
Key call: You can build "a video template tool for ordinary people" on top of hyperframes — users fill in text, the tool generates HTML, and renders it into video.
Counter-perspective: Video rendering demands compute; pure local may be slow. And this project targets agents — ordinary people still face a barrier, so you need to build "idiot-proof" packaging.
🏭 Competitive Intelligence
Indie developer revenue and pricing discussions
🔍 Signal: V2EX post "My indie product has no revenue — is it worth buying Claude Max?" (14 replies, 34 pts); jev-seo brands itself as "no subscription needed."
Plain-English read: Indie developers are anxious about AI subscription costs — the product has no revenue, but they pay $20-100/month in AI subscriptions. jev-seo's "free, no subscription" is a direct response to this anxiety.
Key call: "Helping indie developers cut AI costs" is a meta-opportunity — for example, an "AI subscription usage monitor + auto-downgrade" tool that helps developers discover "I spent $80 on Claude this month but only used 20%."
Counter-perspective: This audience has "no revenue" and weak purchasing power — they may only complain without paying. You need to price against "money saved" (save $50, charge $5).
Dormant old projects suddenly reviving
🔍 Signal: Today's "revived project signals" category had no significant findings.
Plain-English read: No old-project revival signals.
Key call: Report honestly; don't fabricate.
Counter-perspective: None.
"X is dead" or migration articles
🔍 Signal: Today's "migration topics" had only 1 item — w2solo's "How to conveniently, quickly, and safely manage your own server: automatic HTTP and certificate expiry inspection" (9 pts).
Plain-English read: This one is about how "disk not full and service active doesn't mean users can access it" — certificate expiry is a silent killer. It's a niche but real ops pain point.
Key call: "Certificate/domain/service expiry inspection" can be turned into a $5/month monitoring service, with the buyer being "indie developers managing multiple small sites."
Counter-perspective: This market already has mature players like UptimeRobot; differentiation can only come from "Chinese-language interface + cheap."
📈 Trend Analysis
This week's most common tech keywords and changes
🔍 Signal: Today's high-frequency words — "agent" (memory layer, control plane, funding network), "MCP" (the standard protocol for letting AI call external tools, Floot MCP 376 votes), "world model" (PixVerse R2 337 votes).
Plain-English read: "agent" is already oversaturated — today alone there are at least 5 agent-related products: Synap, NOAN, Opaline, Bleetz, Opencontroller. The denser the keyword, the fewer the opportunities.
Key call: Avoid "agent" as a core product name word — it's gone from differentiation to noise.
Counter-perspective: Keyword saturation doesn't mean demand saturation — it's just oversupply. If you have a unique distribution channel, you can still enter.
Topics VCs and YC are watching
🔍 Signal: Whiteboard is tagged "YC W26" and is today's highest-scoring signal (52 pts, 4 platforms).
Plain-English read: YC is betting on "tools for the software design phase," not "AI writing code" itself. This implies YC believes "writing code" has been solved, and "thinking clearly about what to write" is the next bottleneck.
Key call: Follow YC's direction but downscale — build "a thinking-organizer tool for ordinary people" (e.g., a guided questionnaire that "helps you think through whether to start this side hustle").
Counter-perspective: Tracks YC bets on usually turn red ocean within 6-12 months; entering now requires speed.
Cooling AI search terms
🔍 Signal: Today's "cooling signals" — 2 items: HN Hiring (242 pts / 495 comments), "Got promoted with near zero increase" (22 pts / 28 comments).
Plain-English read: Hiring-related topics are cooling, meaning job market discussion heat is declining (possibly seasonal).
Key call: Hiring cooling → demand rises for content that "helps people find side hustles/indie development" (because the day job isn't delivering).
Counter-perspective: Single-day data isn't enough to judge a trend; needs continuous observation.
New-word radar: which concepts are rising from zero
🔍 Signal: "world model" (PixVerse R2), "GEO" (Generative Engine Optimization, jev-seo's SEO/GEO audit), "fact layer for AI agents" (NOAN).
Plain-English read: "GEO" (Generative Engine Optimization — getting content recommended by AI rather than indexed by search engines) is rising from zero — jev-seo does both SEO and GEO audits, showing that "how to get recommended by ChatGPT" has become a new need.
Key call: "GEO audit/optimization" is a new blue ocean within 6-12 months, with the buyer being "marketers who want their brand recommended by AI."
Counter-perspective: GEO rules aren't transparent yet (AI recommendation mechanisms are a black box), so promising "guaranteed recommendation" carries legal risk — you can only sell "audit + suggestions."
🎬 Action Triggers
What to do in 2 hours / a full weekend (detailed version)
2-hour version (do it today):
- Create a Google Form with fields: original image link, edited image link, product type, the part you're most worried about being changed (15 min)
- Reply to the original w2solo post + comment on the relevant DEV article (20 min)
- Manually process the first 3 submissions: use an online image diff tool (like diffchecker) + eyeball review, output a Markdown report (60 min)
- Organize the report template into a reusable format (25 min)
Full weekend version:
- Write a Python script: takes two images, outputs a difference heatmap + red-box annotations (half day)
- Build a simple web interface (upload two images → download report) (half day)
- Post in Shopify seller groups and cross-border e-commerce subreddits (r/ecommerce, r/shopify) to validate (half day)
- Collect 10 pieces of real feedback and decide whether to build a paid version (half day)
Pricing and monetization model research
🔍 Signal: jev-seo "no subscription needed" (free), V2EX "Should I buy Claude Max?" (cost anxiety).
Plain-English read: The current indie developer pricing trend is "free tool for acquisition + one-time purchase for monetization," fighting "subscription fatigue." This is especially true for consumer products — ordinary people prefer a $4.99 one-time purchase over $4.99/month.
Key call: Consumer products should prioritize "one-time purchase" pricing; only B2B monitoring products use subscriptions.
Counter-perspective: The problem with one-time purchases is unsustainable revenue — you need a constant stream of new customers. Suitable for products with organic traffic channels.
Today's most counterintuitive finding
🔍 Signal: DEV article Indie makers build Productivity apps. The visits go to Food & Drink and Finance. (32 pts).
Plain-English read: Indie developers are clustering around productivity tools, but user traffic went to "food & drink" and "personal finance." This is a direct supply-demand mismatch — developers build the tools they want, but ordinary people want lifestyle tools.
Key call: If you want to build consumer, don't build "productivity tools" — build "food/entertainment/finance/health." That's where the traffic is, and competition is lighter.
Counter-perspective: The problem with lifestyle tools is "users don't want to pay" (you can browse food/entertainment for free — why pay?), so you need to monetize via ads or e-commerce commissions.
Product Hunt and developer tool overlap
🔍 Signal: Of today's Product Hunt top 10, at least 6 are developer tools (Whiteboard, Floot MCP, Opaline, Bitrise, Maximem Synap, Opencontroller).
Plain-English read: Product Hunt is turning into a "developer tool rat race" — if your product is a developer tool, you'll face a sea of similar products on PH; if it's a consumer product, you'll actually stand out more easily on PH (because there are fewer similar ones).
Key call: Launching a consumer product on Product Hunt has a better cost-benefit ratio than a developer tool.
Counter-perspective: PH's core users are still developers, so consumer products may get "critical praise but no adoption" on PH (developers upvote but won't use it) — you need to pair it with other consumer channels.
🔗 Sources
- Whiteboard (YC W26) — HN Show HN (396 pts / 129 comments)
- PixVerse R2 — Product Hunt (337 votes / 48 comments)
- Koi.rest — HN Show HN (42 pts, 2 platforms)
- hexgrad/Kokoro-82M — HuggingFace (11.69M downloads / 7,009 likes)
- Mak5er/AirCard — GitHub Trending (4,195 stars / 184 forks)
- jev-seo — Product Hunt (116 votes / 11 comments)
- DEV·TV — Product Hunt (137 votes / 15 comments)
- When you edit product images for your indie store, how do you verify the AI didn't change the wrong product? — w2solo (36 pts)
- My indie product has no revenue — is it worth buying Claude Max? — V2EX (14 replies)
- Indie makers build Productivity apps. The visits go to Food & Drink and Finance. — DEV (32 pts)
- Vibe Was Never the Problem: The Missing Half of Vibe Coding — DEV (8 upvotes)
- How to conveniently, quickly, and safely manage your own server — w2solo (9 pts)
- Show HN: Make cursed fonts like Times New Bastard — HN (846 upvotes / 123 comments)
- Amiga Screens: A Primer — HN (38 pts, 3 platforms)
— AimFast.Dev Daily