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hartdrawss

Harshil Tomar

Verifiedactive
@hartdrawss

running growth funnels and ai-powered agencies | https://t.co/WsMmQdHtuT

RosterStartup & SaaS BuildersAI Agents & Productivity Tools
22,054 followers · 1,032 following · Last polled 2h ago
Perf. Score
39.4
Rank #301
Value Score
24.7
#213 of 275 priced
Median views
659
p25 632 · trailing 7d
Followers
22K
-0.1% 7d
ER (impr.)
3.19%
eng ÷ impressions
ER (foll.)
0.11%
eng ÷ followers
Est. CPM
$121.4
QT-rate basis
WoW views
-78.1%
▼ falling

Rates & value · est. from 659 median organic views

overpriced
Quote tweetbasis
$80
$121.4 / 1K views
Post
—
no CPM
Thread
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no CPM
Retweet
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no CPM
Value Score 24.7 · rank #213 of 275 priced$4705.88 / 1K engagementsrate age unknown (pre-audit import)

Trends

Follower growth
Median views / day
Engagement rate
View distribution · trailing-7d posts

Each blue dot is one organic post. The Performance Score ranks by the median (659), not the mean (753) — so a single viral post doesn't inflate a creator's reach. The p25 floor (632) is the level 75% of posts clear.

Recent posts · ranked by views

PostPostedViewsLikesRepostsRepliesQuotesBookmarksER
enterprise onboarding that looks great in the sales demo: - SSO, role matrix and a compliance modal before anything else - a 12 field "tell us about your org" form - an "invite your team" screen on step 2 - every integration permission asked upfront - a guided tour narrated by the CSM - a dashboard that stays empty until IT approves the connector what we built for tenmo instead: - SSO is one toggle on step 1, next to a live preview of the workspace - telemetry sources connect one at a time, each with a read only note right there - the fleet map fills with drones the moment a source connects - alert rules replay real flights so the ops lead sees what would have been caught - inviting the team comes on step 5, after there is something to show them, and it is skippable - the copilot answers a real fleet question before setup ends tenmo is a fleet observation platform for enterprise drone delivery. the buyer is an ops lead at a company running hundreds of drones, and they do not have time for a tourfrozen26d ago24K28542260.27%
built this full enterprise onboarding in Next.js 😍 w/ Claude Code and best design-eng skills : - https://t.co/xau3htuQMw - https://t.co/lysyBN1rDb - https://t.co/PHhuWel0Lr - https://t.co/9669biMSNH - https://t.co/oRyQpyd1kp Bookmark this RIGHT NOW ! https://t.co/1DSSdvl1hx
frozen
23d ago
23K
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I found 9 amazing sites that generate Figma + inspo for your AI builds ! here are the links - https://t.co/2mEbpoWLfM - https://t.co/sQK5YOR5I7 - https://t.co/g2EidWynqA - https://t.co/60WZ62dtuQ - https://t.co/bWJnPxjf2x - https://t.co/azT7C8OieN - https://t.co/e1MQDokLiU - https://t.co/EjrpNg9IP2 - https://t.co/4a2uudPRNZ They help turn your visual direction into an actual design system your coding agent can follow. typography, colors, spacing, radius, shadows, components, states and responsive behaviour. before you build any screen, pick a visual direction and generate the design .md file aligned with your product mechanics and outcome goals add it to Claude Code or Cursor, then use /design to describe what should stay consistent across every screen this gives the agent actual constraints instead of asking it to “make the UI look premium” and hoping for a good output you'll ship much cleaner product ideations at lightning fast speed ! ( this and a folder of 5-6 visual references are the first things we prepare before starting a client build )frozen22d ago15K160291011852.54%
Give your coding agent clearer design direction with these DESIGN.md resources. Save them ↓ - https://t.co/LV7EszT4rQ - https://t.co/5JrjTof4Pr - https://t.co/iE0pTzXwJR - https://t.co/HpCaq6jHDS - https://t.co/wTNXnncuCs - https://t.co/WwzTGJTWRw - https://t.co/oiE3m41uLx - https://t.co/sYODIvbhl6 Which resource belongs on this list?frozen13d ago12K28837503865.95%
9 more amazing websites for designer inspo's ! - https://t.co/XmZCWarTpJ : UI blocks you can tweak live - https://t.co/1V7mBDj5Ak : an invite-only space for designers - https://t.co/Wkwub6JA57 : 800+ real websites for your coding agent to reference - https://t.co/EpeR44B3OE : AI prompts for websites with animation - https://t.co/yAi88j7W9Q : React components with motion at their core - https://t.co/slTCmWfL9F : a single-file UI kit for AI products - https://t.co/6Yi6QBPFCf : discover tools made by fellow designers - https://t.co/1K2cZ5jo6r : inspiration for websites, interfaces, app icons & OG images - https://t.co/L6hyyMk7iB : turn static screenshots into showreels Which lesser-known site would you add?frozen20d ago10K23332813255.75%
Stuck on one part of your website? These 8 resources probably have the reference you need ↓ 1. https://t.co/fRT3vRz9UD - 1,200+ design prompts 2. https://t.co/4S8pVRi5V2 - creative navbar inspiration 3. https://t.co/3fXIZVCW4M - footer designs worth studying 4. https://t.co/cAuqQ4IhsY - ideas for stronger CTAs 5. https://t.co/03xs3LZ5qj - memorable 404 page designs 6. https://t.co/DPPUlZ6rCb - ready-made website sections 7. https://t.co/OYN7lec0kd - bento grid layout inspiration 8. https://t.co/ks85jnqLiJ - polished motion and interaction details Save this for your next build 🔖frozen12d ago6.9K15712312115.57%
6 UI libraries for giving your next build a premium finish. Bookmark these ↓ 1. toolcraft - https://t.co/bY63qqxGMh 2. pinui - https://t.co/pdD3oPgQ3m 3. solace ui - https://t.co/v05f14tINN 4. easyui - https://t.co/r8XZiCYMlP 5. pace ui - https://t.co/i98HD2cxyX 6. feral ui - https://t.co/qYzI9puZHY Which library are you trying first?frozen14d ago6.4K15215502015.80%
Your AI can build interfaces. These skills help it build better ones. Save this ↓ - frontend-design https://t.co/TyZch4KXr9 - apple-design https://t.co/zuRtXdQVHc - beautiful-shadows https://t.co/S50UocXeWT - accessibility https://t.co/CQJ3SuQB6m - design-review https://t.co/GMhfLk4FIZ - emil-design-eng https://t.co/xLqZ9MDLLB - shadcn https://t.co/ERK7DrODUJ - adapt https://t.co/nxolgmGyWC - better-interface https://t.co/Lu6A5TWrwS - interaction-design https://t.co/YQvV5iCDjO Which one are you adding first?frozen15d ago6.2K13922702005.96%
9 design tools that deserve a spot in your bookmarks. Save these ↓ - https://t.co/IjG2NAZWaa - bring your designs to life with motion - https://t.co/cY1dLjKJho - create 3D device mockups in your browser - https://t.co/dnsRbh0AJw - turn a collection of photos into a recap video - https://t.co/AVXObVcVUT - add lo-fi effects to images and videos - https://t.co/5Srf6aQdtA - build gradients using editable curves - https://t.co/L9p2YBaDV9 - generate endless unique gradients - https://t.co/YeNNZQbN9J - create dither, ASCII and halftone effects - https://t.co/iXNTVyDunS - discover talented creatives on 𝕏 every hour - https://t.co/kH8hpiAm8b - explore fresh design work, updated daily What should I add to the list?frozen16d ago5.6K111181001384.96%
8 creative tools to make your designs feel less predictable. Save these ↓ - https://t.co/L9p2YBaDV9 - https://t.co/f6ysCa6yJY - https://t.co/PqyHIkuGXB - https://t.co/oAbjQ3uk8w - https://t.co/nbVyXnvhLY - https://t.co/hE1PogsbWG - https://t.co/Ut08hw9n1k - https://t.co/5Sqic5zsZJ Which one are you trying first?frozen15d ago4.9K11621401335.55%
Tiny interactions can make an interface feel dramatically better. Save these libraries ↓ 1. https://t.co/Jm11XuJUtb 2. https://t.co/YUQCCN5pac 3. https://t.co/4xlBjLAPJe 4. https://t.co/AHZW4PqmHQ 5. https://t.co/ojQZJsgoWx What should I add to the list? https://t.co/qpKwscfOnBfrozen13d ago4.2K9413601165.46%
Your UI is only as good as the building blocks behind it. Save these component libraries ↓ - Annnimate - https://t.co/gHiqsT8z9e - UseLayouts - https://t.co/RtwZrUwWyc - Arc UI - https://t.co/Lfi7RjXmPw - Kobra Systems - https://t.co/b5f6FW7J7f - Bencho - https://t.co/XmZCWarTpJ - HyperUIX - https://t.co/miFopkXmdk - Libraries Dev - https://t.co/PmyIx1r0Rp - BeUI - https://t.co/plQUeB4rLO - BeautifulUI - https://t.co/VkVvux83qo - UI Maxxing - https://t.co/IJJ9mwNGkL Which component library are you using right now?frozen14d ago4.2K1069511075.45%
Spin, pour, done https://t.co/rRz7mxqmv8frozen12d ago4.1K40261161.57%
Your AI isn’t bad at design. It’s working with weak references. Start with these resources ↓ - https://t.co/525k3P57Ov - 300+ complete prompts with editable source code - https://t.co/IEwDHErfbu - design systems your agent can read - https://t.co/6UvENK8O69 - prompts for dashboards and landing pages - https://t.co/sQK5YOR5I7 - curated high-end websites - https://t.co/pmxbE5Ao4B - real UI references mapped to prompts Save this before your next build 🔖frozen12d ago4.0K60901924.00%
7 design resources you’ll wish you found sooner. Bookmark these ↓ - https://t.co/L6hyyMk7iB - turn your best work into a clean, beautiful portfolio - https://t.co/JPI0cdYnZ3 - discover design inspiration shared by creatives on 𝕏 - https://t.co/ks85jnqLiJ - study mobile animations, transitions and micro-interactions - https://t.co/cAuqQ4IhsY - find ideas for clearer, more effective website CTAs - https://t.co/MP1GocT1aJ - explore standout social posts and visual content - https://t.co/4S8pVRi5V2 - browse creative navigation designs from real websites - https://t.co/UV9YPUZXlI - discover a curated collection of beautifully crafted icons What belongs on this list?frozen16d ago3.5K81991995.73%
Bro this is actually CRAZY ! 😳 This is the ultimate sauce to scaling app to $10k MRR Selfdrive is an AI growth team for your iOS app. It handles distribution while you sleep: - App Store: finds keywords you missed, tracks your rank and your competitors', rewrites your listing - Apple Search Ads: runs campaigns on your own Apple Ads account - Website + AI SEO: builds a landing page and ranks it in AI answers - UGC creators: finds, briefs and pays them (it doesnt shoot the videos) - Self-improvement: reads your reviews, studies user behaviour and suggests features to build (apps built in Superapp only) Every morning you get one email with what happened overnight. It asks for your approval before it spends a dollar. Vibecoding made building easy. Distribution was the part left over, and this goes straight at it.frozen10d ago2.6K22000221.69%
The kind of UI details that make you hover twice ↓ - https://t.co/FoNpTnzahL : gooey liquid effects for React - https://t.co/exJp0BFDTc : a beam of light that travels around borders - https://t.co/yXT6GXQOb2 : borders with an animated liquid-metal finish - https://t.co/GqJAoldkh2 : animated orbs for thinking statesfrozen19d ago2.5K46630333.53%
Wallet pass stack https://t.co/Vx8KhnY3Sqfrozen13d ago2.3K1621161.14%
Hold till it glows https://t.co/CAxQaJYnRrfrozen10d ago2.1K2211191.60%
Slide to check in https://t.co/7KJvHm2yZ1frozen15d ago1.8K400110.34%
Fare calendar scrub https://t.co/OL9dzBC6Bbfrozen15d ago1.5K1423141.55%
i spent some time reverse engineering how cal ai went to $50M ARR in 18 months Here's the exact Framework : 1. run the two question filter before you build anything zach's entire filter: does a solution exist, and are people already paying for it paste this into Claude: "My product idea is [IDEA]. Tell me 1) which products already solve this, 2) how many people pay for them, and 3) which step is the most painful, so I can turn it into ONE tap or ONE photo." cal ai didn't invent demand. myfitnesspal already proved millions would pay to track calories. they just made logging food a single photo 2. hire creators on a fixed retainer, not commission open TikTok and Instagram, find creators in your niche, sort by engagement, not views send them this: "we pay a fixed [$ AMOUNT] a month for [4] posts. you pick the angle, we just make sure the app is integrated well." they ran 250 creators this way. fixed fees because other brands guarantee payment, so commission loses to the better deal biggest creator gets tens of thousands a month for 4 posts never script the video. creators know what works for their audience this stalled around $2M a month, so they moved to paid ads 3. build onboarding that makes people invest paste your current flow into Claude with this: "Here is my onboarding: [PASTE SCREENS]. Add 5 questions that change nothing in the product but make the user invest time. Add a 'thank you for trusting us' screen and a 'you'll get [OUTCOME] faster' screen. Move sign in to the very last step." cal ai's v1 only asked what was needed to calculate calories. it converted badly extra questions like "which diet do you follow" lifted conversion even though the app ignored the answers they animated both screens and conversion went up again moving sign in to the end was the biggest single drop in drop-off pricing: 3 day free trial, "$29 a year" shown as "$2.49 a month" about 20-25% of people who finish onboarding start a trial or pay 4. run ads like this the agency capped them at $5K a day, so they took it in-house set up ONE scaling campaign and ONE testing campaign, no interest targeting. the creative does the targeting optimize for trial starts, not purchases then open App Store Connect, go to [YOUR APP], then "Custom Product Pages" and give every ad its own page, so revenue ties back to that ad 5. sell it like a negotiation, not a favor first offer came from a PE firm and it was low zach countered so high the gap made the point then he hired bankers who ran a competitive process they held the news until after january and feb, their two biggest months result was $5.7M in a single month and MyFitnessPal bought 100% of it this isnt luck, it's a set of decisions made on purpose the full CAL AI PLAYBOOK is in the first commentfrozen24d ago1.5K14250142.38%
patterns in the apps that CRUSH the App Store ! i've shipped enough apps for clients to start seeing the same aso decisions in BANGERS ! here's the pattern ( 7 steps ): 1. the first screenshot is the entire pitch open App Store Connect, go to [YOUR APP], then "Distribution", then "Screenshots" pull up your top 3 competitors in Sensor Tower or Apptweak paste this into Claude with your slot ONE and theirs attached: "Tell me what outcome each screenshot promises in under 5 seconds. Then rewrite mine as a before/after or a bold headline over real product UI." their slot one is never a logo. if yours is branding, you already lost the scroll 2. title and subtitle carry more ranking weight than your icon 30 characters in the title, 30 in the subtitle, apple indexes both use this formula: "[KEYWORD PEOPLE TYPE]: [OUTCOME]" "budget tracker: save money automatically" beats "finly - budget app" every time check the search terms report in App Store Connect before you lock the name in dont just pick what sounds clean 3. sharing gets built into the first win screen, not settings add the share sheet right after your aha moment first workout logged, first invoice sent, first match made strava and duolingo both fire it inside the first completed action. not on day 3 4. rating prompts fire after a completed action, not on cold open use SKStoreReviewController on ios or the in app review api on android trigger it right after a save or a win, never on launch apple only gives you 3 prompts a year per user. dont burn one on someone who opened the app and did nothing 5. category choice is a ranking decision, not a vanity one pull the top 10 in your category on Sensor Tower, then input this prompt: "My app is [APP DESCRIPTION]. Here are my target keywords: [KEYWORD 1], [KEYWORD 2], [KEYWORD 3]. List every App Store category where these keywords could put me in the top 10, and rank them by how weak the competition is." rank 3 in "reference" gets found. rank 400 in "productivity" doesn't exist to anyone 6. localization ships with v1, not as a backlog item you don't need to translate the whole app yet just the screenshots and keyword field for your top 3 non english markets by download volume skip this and you're not delaying international downloads, you're losing almost all of them permanently 7. reviews get seeded before launch day, not hoped for after line up 15 to 20 people from your waitlist or beta group dm them one by one on launch morning with this: "hey [NAME], we just went live. if the app helped you even a little, would you leave a quick review? here's the direct link: [APP STORE LINK]" an app sitting at 3 reviews a month in looks abandoned, no matter how good the product actually is we map screenshots, category and review flow before v1 ships now, not after launch week already flopped !frozen25d ago1.5K174120143.20%
Sorry to leak the sauce to all FOUNDERS But if you want to know the most slept on and hottest hack; it's Claude skills Anthropic's valued at $965,000,000,000 [ FIX THIS LINE ] they built a way for agentic coding to follow the same process a senior engineer would use before writing a single line here's how : > design engineering - emil kowalski's skill forces four questions before any animation ships should it animate why what easing how fast - reviews come back as a before and after table so you see exactly what changed and why - pulled from his actual work on sonner and his other open source components not generic design advice > grill before you build - matt pocock's grill me interviews you one question at a time before claude touches a single file - each question ships with a recommended answer so youre not stuck staring at a blank decision tree - the conversation becomes a real spec before any ticket or line of code gets written > overengineering guardrails - andrej karpathy's guidelines force the agent to state its assumptions instead of picking one and running with it - changes get capped to what the task actually needs instead of a rewrite of files nobody touched - built around giving the agent a goal and a verification loop instead of babysitting every step > structured build discipline - superpowers refuses to let claude write implementation before a failing test exists - the brainstorming phase forces clarifying questions before any code gets touched at all - a fresh subagent reviews the diff against the plan before the branch closes Bookmark this to win RIGHT NOW !frozen22d ago1.4K11020151.94%
Live flight sheet https://t.co/lxWJmCtnHBfrozen12d ago1.3K701061.10%
Scratch your free coffee https://t.co/8XXKnWnct0frozen8d ago1.2K411140.88%
Bro this is CRAZY. OpenAI just made it possible to generate working interfaces inside ChatGPT. Most people still think AI-generated UI means getting a bunch of React code you have to copy, debug and deploy. OpenAI is taking a different approach: describe what you need, and the interface appears right inside your conversation. What that actually looks like: → Ask for a SaaS pricing calculator and get sliders that update the total as you change inputs → Compare different options through interactive charts instead of reading paragraphs of text → Generate a custom tool without manually designing every button and field → Change inputs and see results update without making another AI call The crazy part is how they built it. Engineers at OpenUI reverse-engineered the system and found that ChatGPT uses its own interface language, a compiler and a library of native components to make all this work. That's a much more interesting direction for AI than generating another pile of frontend code. We're moving from AI helping you build interfaces to AI giving you an interface you can use immediately.frozen13d ago1.2K1510081.95%
5 component libraries for making your next UI feel more polished. Save these ↓ - https://t.co/fuLisIVnXc - https://t.co/faV5TymfJo - https://t.co/EuQRnCcFSj - https://t.co/WFoHDEnioO - https://t.co/cVPlmKpkGd Which component library should I add next? https://t.co/Knbz9inlmE14h ago1.2K27441315.45%
Behind the scenes from another client build we embedded our automation for AEO/SEO build out a seo automation workflow using ahrefs + dataforseo ! on track to hit 30,000+ impressions this quarter. zero human in the loop after setup - keyword filter: under 30 KD, over 1000+ monthly volume, nothing else gets in. anything above that gets auto-rejected before it reaches the queue ( for this phase ) - cluster the queries instead of writing one-off posts. one seed keyword spins out 8-12 related angles, all internally linked, all targeting the same intent ( scrapling integrations ) - research stage pulls real citations and live-verifies each one before it gets used. no invented stats, no dead links, no made-up sources. ( verified from dataforseo during qa ) - draft stage writes to a locked voice profile trained on actual past posts. same sentence rhythm, same structure rules, every single time. - quality gate scores the draft against a rubric before it ever goes live. word count, structure, citation density, all checked in code, not guessed by the model. - sounds harsh but the gate is the whole system. anything under threshold gets kicked back for a rewrite, not published anyway. - publish stage runs on schedule, nobody touches it between draft and live. no editor, no approval queue, no bottleneck. - 5 stages total, fully autonomous, same pipeline every time, no manual step anywhere in the chain.frozen28d ago1.1K722151.51%
The life of a navbar... 🔈 https://t.co/KK5aQemG2Afrozen26d ago1.1K911061.54%
sorry to leak the sauce to all FOUNDERS ! but if you want to know the most slept on and hottest method for scaling app to 1000s of Users it's choosing the best STACK ! here's how : > frontend stack - next.js and shadcn ship a clean interface without looking like a template everyone's already seen - server components cut load time since half the page never touches the client at all - shadcn components stay editable in your own codebase instead of a locked down library > database layer - postgres on planetscale lets you branch a schema and test changes without touching production - branching means a broken migration never takes down a live client app - query performance stays predictable even as client data grows past a few million rows > hosting and edge - cloudflare handles dns edge functions and caching so infra stops being a daily decision - deployments push globally in seconds instead of waiting on a single region to catch up - ddos and bot protection sit in front of the app before a request ever reaches your server > mobile build - expo and react native ship ios and android from one codebase instead of building native twice - over the air updates push fixes without waiting on app store review every single time - native modules still drop in when a feature needs real device level accessfrozen24d ago1.1K14210142.91%
Appstore strategies that actually CRUSH : - pick a category with less competition ( blue ocean strategy ) not the one every app like yours dumps into. less noise. apple's algorithm has to work less hard to notice you - ship a small update every 10 to 14 days. even if its tiny. the ranking algorithim treats active apps as lower risk - get your first 20 reviews from real users. ideally fnf ( not bots or review farms ) one flagged batch and apple throttles the whole listing - make your screenshots show the ui doing something. not a static screen with text pasted on it. motion converts better - localise your title and keywords. atleast spanish and portugese. most teams skip this and just leave downloads sitting there - time your launch around a seasonal spike. a travel app launched in january will always beat the same app launched in july - reply to every review for the first 30 days. good or bad. apple's algorithm tracks developer responsiveness as a trust signal - avoid keyword stuffing the app name itself. apple flags this faster now. put your best keyword in the subtitle instead - push for featured placement early. email apple's editorial team directly with a short pitch. most builders never even try this - track your conversion rate from impression to download weekly. if its under 25% your screenshots or icon are the problem - delete unused permissions before submission. apps that ask for less get approved faster and reviewed with less scrutiny What should I add ?frozen21d ago1.1K1013051.80%
Creative block usually ends after a few minutes on these sites. Save them ↓ 1. https://t.co/MP1GocT1aJ 2. https://t.co/8pjGTQRfmy 3. https://t.co/jhgMz49NP0 4. https://t.co/0H0qAHCs7V 5. https://t.co/UwqklSlGID 6. https://t.co/15cK7uSGHB 7. https://t.co/kH8hpiAm8b 8. https://t.co/Ag32n5pygk Where do you go when you need fresh ideas?2d ago96114300224.06%
Life lately : ) https://t.co/lttLhjNh52frozen26d ago9601733042.81%
AGENT BUILDERS, this model changes your cost math! Alex's numbers, translated for people shipping products: 1. $0.05 per 1M input tokens, output is free. A full 100K token prompt costs $0.005. 2. 100K tokens in, decision out in 660ms. Even 384K tokens takes only 2.5 seconds. 3. Compute per token stays constant as context grows, so long context stops getting slower and pricier. 4. First 10,000 sign-ups get 100M free input tokens. What I would test first: - feed it a full repo plus support tickets and ask what to build next - run one decision step inside an agent loop instead of chaining 5 small calls - dump a month of user feedback and get a ranked list of whats broken Capacity will fill fast so sign up today and run one real workflow before judging it.frozen11d ago923811041.52%
September so far feels like success ! - Back to daily routine and work - back to posting regularly - hitting the gym 4-5 days/week - leaned down to 73 kgs ( recomp ) - scaled up SEO pipeline to hit 300+ AI answers ( almost 5 leads directly from that ) Locked in a pipeline of almost $50k for https://t.co/WsMmQdGVFl. Hoping to convert 50% of it to retainers ! Personal life is some what on okay trajectory and improving as well. finger's crossed all can be aligned Now goal is to build enterprise scale product's for ongoing customers and launch them by Q1' 27 Super excited for what's next !frozen22d ago9121000041.54%
how we designed omegcol's onboarding system > Inter Tight runs the UI, Lora serif carries headline copy. greeting and value slides sit at 26-29px, card titles 15px, button labels 15.5px, section labels 12-13px > headline tracking sits at -0.3px so big serif type stays tight against the photo. section labels flip to +0.4px because uppercase micro labels read better opened up, not tightened > no shared light/dark token set here, one dark photo backdrop drives every surface. white glass panels promote to a cream fill on selection, ink text stays constant throughout > cards carry zero border color, a 1.5px ink ring marks the selected state instead, plus two shadow presets total, raised and raisedSoft, nothing tuned per component > radius follows a hierarchy: 27-28px for the button pill, 20-26px for cards, 16px for chips and input rows, 12px for icon slots, 10px for the checkbox > spacing stays dense, 20px page margins, 12px gaps between rows, 22-32px between step sections once these tokens were locked the same button, same card, same type scale carried the whole onboarding flow, seven steps deep, nothing rebuilt per screenfrozen29d ago909631081.98%
this is the quickest way to check if ai search engines can even find your product: follow these steps exactly: 1. open an incognito browser, go to chatgpt or perplexity, ask it the exact question a customer would ask when they have your problem 2. check if your product actually gets cited as a source, not just mentioned in passing or not at all 3. if it doesnt show up, check https://t.co/8NOvabJZP0. see if gptbot, claudebot, or perplexitybot are blocked. most sites block these by default and nobody notices 4. confirm your key pages arent js-only rendered. ai crawlers dont execute javascript the way google's crawler does, if the content only loads after js runs, its invisible to them 5. pull your top 10 highest-traffic pages from analytics 6. paste one page's content into claude with this prompt: "here's the content from this page: [PASTE]. does it answer one clear question in the first 2-3 sentences, in a way that could be lifted and cited directly? if not, give me the exact rewrite needed to make it extractable" 7. check those same pages for json-ld structured data. if theres none, add it, this is literally what tells a machine what the page is 8. link your blog content back to the actual product pages you want cited. orphaned articles rarely get cited even when they're goodfrozen27d ago9051546073.54%
This is not just happening in brand design. founders are doing it to their products too ! This year we worked with a founder fresh off a $5M+ exit. he wanted to start again, so we scoped an end to end ai recruitment platform with him and worked through the details , upfront scoping and kickoff then kickoff came and we received literally a 15 page brief. written by GPT ! let me explain… it read really well but man it had the vaguest pointers and so much random fluff we told him it read like chatgpt. he did not deny it. he said he was trying to speed things up and keep everything articulate. fair enough. so we went through all 15 pages, cut it down into a brief we could actually work with, and mapped out the full user journey ourselves with as much detail as we could. then we sent it to him for review. the review came back written by ai too. here is the way i look at it though. i do not have a problem with founders using ai. we use it all day to build. but the brief and the feedback are the two places where the founder's actual thinking has to show up. that is the part we can't generate for you. so we paused and had the conversation. I literally told him over the call "every time you answer us through ai, even a small question, we get maybe 40% of what a handwritten answer from you would give us. and every one of those answers pulls the product around 10% away from what you had in your head" do that across a whole build and we end up shipping something none of us pictured at the start. so if you are about to hand your builder an ai written brief to save a week, you are saving time on the one part only you can do.frozen29d ago865623031.62%
spent more time on one button than full agent https://t.co/7yqy1HG9mWfrozen24d ago8521113022.00%
backlinks we actually verify before submitting any dreamlaunch client site (v1): 1. https://t.co/nv1OGwhDBy (dr 77) → dofollow, live same day 2. twelve tools (dr 82) → badge live 3. turbo0 (dr 79) → badge live 4. openhunts (dr 51) → badge live 5. easydofollow (dr 42) → badge live 6. similarlabs (dr varies) → badge live, review pending 7. indieascent → badge live, review pending 8. thesaasdir → badge live, review pending 9. toolfio → badge live, review pending 10. mochilaunch → badge live, review pending 11. sourceforge (dr 92-93) → no rel attribute at all on the outbound link 12. capterra (dr 91-93) → vendor profile 13. crunchbase (dr 89-91) → company profile field 14. wellfound / angellist (dr 89) → company profile 15. https://t.co/FvjEWcw5pq (dr 90) → profile on signup 16. https://t.co/Upn8JchNOd (dr 90) → profile website field, confirmed rel="noopener me" 17. startup fame (dr 82-83) → free "verified" tier, badge + dofollow 18. f6s (dr 83) → startup profile 19. stackshare (dr 80) → add to your dev-stack 20. toolpilot (dr 77) → badge 21. https://t.co/nV1zJHOlxE (dr 74-75) → badge exchange 22. softwareworld (dr 73) → no approval queue 23. https://t.co/mTn3RFLSzZ (dr 72) → the badge is the entire premise 24. future tools (dr 69) → curated, ~75% rejection rate 25. https://t.co/nsorwo6Pwh (dr 68) → spot checked 68 live pages, 0 nofollow 26. betapage (dr 68) → upvote based 27. ai toolz dir (dr 63) → reciprocal backlink instead of badge 28. saasworthy (dr 52) 29. ventureradar (dr 51) → low traffic, clean dofollow 30. https://t.co/oZUpw3Fkb2 (dr 44)frozen29d ago82310330103.16%
AGENT BUILDERS, this kills your worst bottleneck: most agents dont fail on reasoning. they fail on data. you scrape, get blocked, patch the parser, repeat it next week. TinyFish just launched a Data Partners Alliance with crunchbase, similarweb and 13 more companies. licensed data, curated by category, pulled straight into your agent. no proxy stack. no broken selectors. https://t.co/TqUrzlX0i4frozen29d ago820621041.59%
Dreamlaunch completed almost 1.5 years with one founder based out of Norway Took care of branding, web app, documentation and sometimes even helped them with pitchdecks for investor demo It has started with a simple build of a event management platform idea Then we kept scaling up feature releases alongside their marketing team. A lot of hustle went into infra, user experience and building it to be enterprise ready slowly this entire collaboration became into feature additions and retainer's leading into : - 750k+ site visitors - 3.07m+ page views - 15k+ registered users - 4.7k+ paying users Banger job done, now onto another year 🫡frozen1mo ago760930042.11%
Your coffee week, wrapped https://t.co/fEwEUOvlTjfrozen8d ago743200030.67%
[ QRT : A2, Q3 ]frozen17d ago722000000.00%
5 lesser-known Mac apps worth checking out: 1. https://t.co/iEHLACkXNz 2. https://t.co/L61f8f2C5b 3. https://t.co/u2ztKh3TIA 4. https://t.co/l8CWFQYceK 5. https://t.co/2L7I8QHieO Which Mac app should make the next list? https://t.co/YYntX9UsQb2d ago716710092.37%
Live order https://t.co/ZY8kMp9CIqfrozen10d ago714300020.70%
1B series A, let that sink in2d ago659200020.61%
When your design needs more texture, motion or personality, start here ↓ - https://t.co/GAvSCO5E2N - create custom shaders and animations - https://t.co/f6ysCa6yJY - build animated gradients and shader backgrounds - https://t.co/5Sqic5zsZJ - turn images into dithered art and animations - https://t.co/IjG2NAZWaa - make motion graphics in your browser - https://t.co/AVXObVcVUT - experiment with image effects and recoloring - https://t.co/6FMBO1kN83 - transform media with ASCII, pixel art, halftone and 100+ effects Save these for your next creative project 🔖 What should I add?17h ago6541221083.52%
literally visualise your “git branches”frozen3d ago610600031.48%
for anyone wanting a quick audit run, here's the TLDR: 1. write 30-50 prompts real buyers ask before picking a tool 2. run the same set on chatgpt, claude, gemini and google AI mode, log every brand and URL 3. track cited, mentioned and recommended as 3 separate numbers 4. rerun your top prompts, one screenshot proves nothing 5. group prompts into buying topics, not single queries 6. start with the topic where a competitor shows up most and you don't 7. open every source the AI used when a competitor won 8. check if you already have a page that should win before writing a new one 9. make sure crawlers can reach it (OAI-SearchBot not blocked, page indexed on google) 10. look at the hidden searches the engine runs under the prompt (bing webmaster shows them) 11. only now decide: new page, update, outreach or tech fix 12. if you write, add stuff nobody else has: your data, real pricing, limits, benchmarks 13. earn a spot on the third-party pages that keep shaping answers 14. rerun the exact same audit after recrawl and keep pushing the topics that move?s=2012h ago439301052.05%