How a two-person app studio launched 16 apps with AI, with Gabe Kwakyi

Gabe Kwakyi has 16 apps live, all built with AI.The gap between building an app and getting results is the whole conversation. When anyone can ship an app in a day, what is actually hard?Gabe co-founded and ran the ASO and ad agency Incipia, co-authored a book on advanced app store optimization, and later led Lingvano, a sign language learning app. Today he and his partner run Rhythmic Apps, a studio of apps that includes Ink, a journaling app, and Togella, a couples' question app. In this conversation we cover what happens when you go from one app to a portfolio, what traction really looks like, and what is working and not working in ChatGPT ads and web-to-app.Traction is a threshold, not a finish line. Gabe's starting signal is $10K in ARR. He lists the benchmarks he looks for: a trial conversion rate of 10 to 20%, a trial-to-subscription rate of 30 to 50%, day one retention of 20 to 40%, a cost per install under $2 or a cost per trial under $25. Even with two apps at that level, he says he would not claim product market fit.The bottleneck moved. Before AI, the bottleneck was developers and expertise. Now one person can one-shot an entire app in about a day, which moves the bottleneck up the funnel to distribution, positioning, messaging and intuition. He also explains why organic App Store downloads are being squeezed, and why he calls viral success stories success bait.ChatGPT ads and web-to-app. Gabe has been testing ChatGPT ads. His read is that it is not there yet as a direct response channel, even though CPMs, CPCs and CTRs look decent, and he explains how context hints replace keywords and audiences. In web-to-app, one app he works with had a fraud rate of 80% or more on trials, a challenge he says AI alone will not solve.Video Chapters:00:00 Introduction02:46 Why Gabe started his own app studio05:05 What changed: people now manage agents that write software06:27 The aha moment: building a full app with AI08:27 A portfolio of 16 apps: which ones are working11:36 What product market fit looks like: the benchmarks14:25 Does app store optimization still work? The organic squeeze19:03 AI moved the bottleneck from building to distribution23:06 Is it really easy to go viral with AI creative?28:21 ChatGPT ads: context hints and what is not working yet33:51 Web-to-app: attribution and the fraud problem36:28 Managing 15 apps: where the time goes38:28 Wrap-up and where to find GabeTopics covered:- Why Gabe started an app studio after leaving a CEO role- Why people now manage agents that write software- Running a portfolio of apps and what counts as working- Benchmarks for traction: trial rates, retention and cost per install- Why organic App Store downloads are being squeezed- Why AI moves the bottleneck from building to distribution- Why viral success stories are success bait- ChatGPT ads and context hints- Fraud in web-to-app and how to manage a portfolio of appsLearn more:Episode page: https://mobileuseracquisitionshow.com/episode/how-a-two-person-app-studio-launched-16-apps-with-ai-with-gabe-kwakyi/Gabe on LinkedIn: https://www.linkedin.com/in/gabrielkwakyi/Rhythmic Apps: https://rhythmicapps.com/Ink: Daily Journaling Prompts: https://apps.apple.com/us/app/ink-daily-journaling-prompts/id6761030956Newsletter: https://intelligentartifice.kit.com

Should a high-value user see a high price? When I asked Jacob Rushfinn, he answered, "Sometimes, but I wouldn't get caught up in the price. Price is just one variable." For some of the highest-intent segments his team has seen, a lower price doubled conversion. What the user sees around the price matters as much as the price itself.Jacob is the CEO and co-founder of Botsi, which trains a custom model for each subscription app client to decide which offer each new user sees. He started with beta testing and private clients last year and now works with apps doing more than $100 million in ARR. He also writes retention.blog and hosts the Price Power podcast. In this conversation we cover how to move from classic price testing to personalized offers, and what you can do today without a machine learning model.The limits of price testing. Testing a baseline price, then your biggest markets, then higher and lower variants works, but going country by country is slow. Raising prices can also lift revenue up front while the total number of subscribers drops. Jacob explains why that pushed him toward personalizing the offer.Signals before the paywall. Device data such as country, OS, device type and language. First-party data from quiz and onboarding answers. Acquisition source, down to the ad network, campaign and Apple Search Ads keyword. Predicted LTV is layered on top so the model optimizes for long-term revenue, not just conversion.A check you can run today. The share of users who cancel in the first seven to 14 days after subscribing is highly predictive of renewals at one year. It needs no machine learning model.Inside Apple's rules. Botsi does not generate price points on the fly. Teams pre-select a handful of products, Apple approves them, and five to ten products can combine into a large number of offers. One example is the same price, with the monthly plan behind a see all plans page and the annual plan shown up front.What it does to your ads. Jacob says he has not seen a real negative impact on ad performance. When a team told him their ads stopped being profitable after a price test, his read was that half of their users had been shown a bad price.Video Chapters:00:00 Introduction02:38 Jacob's method for price testing05:19 Packaging: the monthly to annual ratio06:52 Why one price for everyone stopped making sense09:28 The signals behind a personalized offer12:10 Layering in predicted LTV12:55 Price is just one variable: the whole offer15:12 A check you can run without machine learning17:54 When a lower price doubles conversion for high-intent users19:23 How much data you need to personalize offers20:59 How AI changed the approach26:28 How personalized offers work within Apple's rules30:02 Is personalized pricing fair to users?34:24 How personalized offers affect media buying41:12 Where to find Jacob and his workTopics covered:Why price testing alone stops working as you scale- The signals used to personalize an offer before the paywall- Why a lower price doubled conversion for some high-intent users- A no-machine-learning check: cancellations in the first 7 to 14 days- How personalized offers work within Apple's rules- How personalization affects media buying and ad performanceLearn more:Episode page: https://mobileuseracquisitionshow.com/episode/how-to-personalize-paywalls-for-subscription-app-price-testing-with-jacob-rushfinn/Jacob on LinkedIn: https://www.linkedin.com/in/jacob-rushfinn/Botsi: https://www.botsi.com/retention.blog: https://retention.blogPrice Power podcast: https://podcasts.apple.com/ng/podcast/price-power/id1844494362Newsletter: https://intelligentartifice.kit.com

When I interviewed Steve P. Young in 2019 the topic was getting featured by Apple. Today he runs App Masters, an agency that started in app store optimization, and his focus is paywalls, onboarding and monetization, both for clients and for a growing portfolio of apps he buys and operates himself. This conversation covers what changed, and the numbers behind it.Video Chapters:00:00 Introduction03:01 Why an ASO expert moved to paywalls and monetization06:40 The tentacle strategy: building an app around a keyword a giant can't own09:55 How a $2.99 app became an $8,000 to $10,000 a month app11:35 What to build when anyone can build an app with AI14:50 Viral formats vs viral content: the before and after feature18:35 How to buy an app and how it gets financed22:37 The real numbers: profit by month and why distribution matters25:11 The hard paywall test that proved Steve wrong28:11 Running an agency and his own apps: the team and giving back30:50 Spending on his own apps vs client budgets32:26 Wrap-up and where to find App MastersTopics covered:Why an app store optimization expert moved to paywalls, onboarding and monetization- The tentacle strategy: finding the keyword a giant like Calm can't own- How a $2.99 one-time app became an $8,000 to $10,000 a month app with no additional downloads- How he financed an app purchase and what the monthly numbers looked like- The hard paywall test: 13% vs 6% trial activation, 35% trial-to-paid both ways- Why health and fitness has the highest revenue per installLearn more:Episode page: https://mobileuseracquisitionshow.com/episode/from-aso-to-paywall-optimization-mastering-app-monetization-with-steve-p-young/App Masters: https://appmasters.com/Steve on LinkedIn: https://www.linkedin.com/in/stevepyoung/Newsletter: https://intelligentartifice.kit.com

Most creative strategists treat audience research as a box to check before the real work starts.Karina Tukanova, freelance creative strategy consultant, treats it as the actual work.Karina is a freelance creative strategy consultant working with health, wellness, fitness, and lifestyle apps. She made the jump from performance marketing manager to creative strategist right around the iOS 14 shift, back when creative strategist wasn't even a defined role.In this episode, Karina breaks down how she found an entirely untapped audience for a stretching app by scrolling TikTok, Instagram, and Reddit instead of running customer interviews, why the comments section is the most underrated research source most teams ignore, how she uses AI as a second brain to store and surface insights, and how AI uncovered a hidden script formula running across hundreds of UGC ads that would have taken forever to spot by hand.We also get into why she thinks Meta's push for constant net-new creative volume (the Andromeda era) isn't sustainable on a human level, why handing 100% of ad production to AI just produces slop, and where she thinks AI genuinely earns its place in a creative workflow versus where a human still has to sit in the loop.Timestamps: 00:00 Intro 02:27 The iOS 14 shift and the rise of creative strategy as a role 04:12 The stretching app that found a new audience in older users 07:21 How to surface real audience insights without endless customer calls 08:39 Why ad and organic comments are an underrated research goldmine 09:39 Using AI as a second brain to store and surface creative insights 10:44 How AI spotted a hidden script formula across hundreds of UGC ads 13:22 What makes UA and creative teams work well together 16:17 Deciding what's worth making before you spend anything 18:34 The Andromeda craze and the myth of 100 new concepts a week 20:19 Fighting Meta's sameness penalty with visual variety 22:18 Where AI should and shouldn't touch ad production 24:31 Advice for bridging the UA/creative skills gap 26:44 Closing: how to find and work with KarinaConnect with Karina on LinkedIn: https://www.linkedin.com/in/karinatukanova/About RocketShipHQ: Newsletter: https://intelligentartifice.kit.com rocketshiphq.com Full episode and transcript on the Mobile User Acquisition Show: https://mobileuseracquisitionshow.com/episode/how-to-win-with-deep-customer-research-for-mobile-ad-creative-strategy-user-acquisition-without-focus-groups-or-calls-with-karina-tukanova-freelance-creative-strategy-consultant/

Most telehealth founders think AI's job is to write the ad copy faster.Vivek Girotra doesn't. He used it to figure out what his company actually stands for before he wrote a single line.Vivek is the co-founder of SurpassMD, a metabolic health telehealth company that launched with GLP-1 medications and plans to expand into HRT, TRT, longevity treatments, and peptides. Before founding SurpassMD, he spent over a decade leading marketing teams on the agency and client side.The compound is the same for everyone. What isn't the same is the brand, the trust, and the full experience wrapped around it. That is where Vivek thinks AI actually earns its keep.In this episode, Vivek breaks down how he used AI to interview himself into a brand mission, how he coded platform, clinical, and operational compliance directly into his AI workflow, why his first batch of social creatives took 15 rounds of revision, and why a nurse's unscripted hospital video beat anything his team generated with AI.If you are building an AI-native company inside a regulated industry, or trying to figure out where AI should and shouldn't touch your brand, this episode is the most practical breakdown available.Vivek is offering Intelligent Artifice listeners 20% off their first SurpassMD subscription (any duration, US only). Use code ROCKETSHIP at checkout.Episode pagerocketshiphq.comNewsletter Full episode and transcript on the Mobile User Acquisition Show: https://mobileuseracquisitionshow.com/episode/he-left-the-cmo-track-to-build-an-ai-native-health-brand-with-vivek-girotrafounder-ceo-surpass-md/

Noom's onboarding funnel runs 120 to 140 screens. Some 3-screen funnels convert above 10%. "The length does not matter. Bigger is not always better," as Jacob Rushfinn put it. Part 2 of the FunnelFox panel gets tactical on how web-to-app funnels actually get built.Part 2 of the FunnelFox webinar panel, with Rocketship HQ as partner. Shamanth Rao moderates Jacob Rushfinn (CEO, Botsi), Andrey Shakhtin (CEO, FunnelFox), Patrick Stuart-Constant (CEO, Sociaaal), Mike Gadd (VP Customer Success, Singular), and Elise Zareie (Head of Paid Social, Lingokids). If Part 1 was about the shift, Part 2 is about the mechanics.Elise Zareie on why longer funnels convert better in weight-loss and health but fail on kids apps, where a parent just wants to hand the phone over. Andrey Shakhtin on Noom's 120 to 140 screen funnel as the industry ceiling. Mike Gadd on why your MMP, your ad network, and Google Analytics will never agree, and why that is fine once you pick a source of truth. Jacob Rushfinn on cohort-quality guardrails: ROAS alone gets gamed, so you need activation rate, D1, D7, and trial-cancel rates on the same chart. Patrick Stuart-Constant on a Liquid Death-inspired ad that mocked confused users and ran profitably for months.Video Chapters:00:00 Recap of Part 100:45 Jacob: start with 10 to 15 screens, not 10002:00 Elise on why funnel length is vertical-specific04:00 Andrey on Noom's 120 to 140 screen funnel07:00 Platform hell: MMP, ad networks, and Google Analytics09:30 Mike on picking a source of truth, using SKAN as a check11:00 Andrey on optimizing for ROAS over conversion rate11:45 Down-funnel accountability for UA teams12:30 Jacob on cohort-quality guardrails (activation, D1, D7)14:20 Mike on tying campaign data to attribution and events15:30 Elise on creative-quality health checks17:00 Quick-fire: paywall and pricing wins18:30 Quick-fire: standout creative wins20:00 Closing advice from all 5 panelistsTopics covered:- Funnel length: when longer converts better, when it kills conversion- Platform hell: MMP as source of truth, SKAN as check- ROAS over conversion rate as the campaign KPI- Down-funnel accountability and cohort quality guardrails- Creative wins from social listening and negative comments- Paywall wins: intro offers, multi-page paywalls, paid trialsLearn more:- Original webinar recording: https://www.youtube.com/watch?v=OYPDZlwLhNA- FunnelFox (webinar host): https://funnelfox.com- Rocketship HQ (partner): https://rocketshiphq.com- Jacob Rushfinn (Botsi): https://www.linkedin.com/in/jacob-rushfinn/- Andrey Shakhtin (FunnelFox): https://www.linkedin.com/in/andrey-shakhtin/- Patrick Stuart-Constant (Sociaaal): https://www.linkedin.com/in/patrick-stuart-constant/- Mike Gadd (Singular): https://www.linkedin.com/in/mike-gadd-27a16427/- Elise Zareie (Lingokids): https://www.linkedin.com/in/elise-zareie/- Shamanth Rao (Rocketship HQ): https://www.linkedin.com/in/shamanthrao/

82% of top-grossing apps now take payment outside the app store. Patrick Stuart-Constant's team at Sociaaal ships 4,000 video ads a month, scaling to 10,000. The shift to web-to-app monetization isn't coming. It already happened.Part 1 of a two-part panel from a FunnelFox webinar, with Rocketship HQ as partner. Shamanth Rao moderated the conversation with Jacob Rushfinn (CEO, Botsi), Andrey Shakhtin (CEO, FunnelFox), Patrick Stuart-Constant (CEO, Sociaaal), Mike Gadd (VP Customer Success, Singular), and Elise Zareie (Head of Paid Social, Lingokids) on how paid acquisition teams design the path after the click.Andrey Shakhtin on why off-store attribution beats SKAN on speed, and how 2-5% payment fees unlock room to iterate. Patrick Stuart-Constant on scaling ad volume as a search space problem, and why cheaper AI creative grew his team instead of shrinking it (Jevons paradox). Elise Zareie on why web funnels only work with dedicated ownership inside the UA team. Mike Gadd on why the first renewal is the metric most teams miss. Jacob Rushfinn on the $1M revenue threshold before web funnels pay off, and the 10K to 20K monthly loss to budget for the learning phase.Video Chapters:00:00 Introductions and format02:40 The one shift teams have not priced in07:50 Andrey on the 82% off-store payments finding09:52 Mike on measurement across web and app, platform hell11:45 Elise on creative: lift-and-shift vs TikTok-native15:54 Patrick on the search space, 4K to 10K ads a month18:07 Jevons paradox: cheaper ads, bigger creative team19:30 Elise on where AI helps and where taste is still human21:39 What separates web-funnel winners from teams that quit25:27 Andrey on iteration pace correlating with revenue27:00 Who should not try web funnels: payments complexity28:42 Jacob on the $1M threshold and the learning-phase budget29:36 Common learning phase mistakes and how to short-circuit them32:00 Part 2 drops next weekTopics covered:- The shift to web-to-app monetization and off-store payments- AI creative production at scale, 4,000 to 10,000 ads a month- Web funnels: dedicated ownership vs side project- The $1M revenue threshold for going off-store- Learning phase mistakes on acquisition, funnel, and paywall- Measurement complexity across web and appLearn more:- Original webinar recording: https://www.youtube.com/watch?v=OYPDZlwLhNA- FunnelFox (webinar host): https://funnelfox.com- Rocketship HQ (partner): https://rocketshiphq.com- Jacob Rushfinn (Botsi): https://www.linkedin.com/in/jacob-rushfinn/- Andrey Shakhtin (FunnelFox): https://www.linkedin.com/in/andrey-shakhtin/- Patrick Stuart-Constant (Sociaaal): https://www.linkedin.com/in/patrick-stuart-constant/- Mike Gadd (Singular): https://www.linkedin.com/in/mike-gadd-27a16427/- Elise Zareie (Lingokids): https://www.linkedin.com/in/elise-zareie/- Shamanth Rao (Rocketship HQ): https://www.linkedin.com/in/shamanthrao/

Most mobile UA teams think the algorithm is something you set and surrender to.Itai Kafri doesn't. He engineers the signal.Itai leads product growth at Voyantis, a predictive LTV and signal engineering platform for mobile apps. He has been in mobile user acquisition since before Meta introduced oCPM, back when advertisers controlled every bid manually. Since then, he has spent years figuring out what actually replaced that control.The answer is not the model. It is the signal strategy built on top of it.In this episode, Itai breaks down signal engineering for mobile UA: how to send predictive LTV signals to automated channels like Meta Advantage Plus, Google UAC, and TikTok in a way that actually moves performance. Why timing matters more than accuracy. Why the channel needs rank, not dollar precision. And the three questions every growth team should answer before investing in a predictive LTV media strategy at all.If you run paid user acquisition for a mobile app and you are thinking about PLTV, value-based bidding, or tROAS optimization, this episode is the most practical breakdown of signal engineering available.Video Chapters:  00:00 Introduction00:36 Pre-2014 vs post-2014: how automation changed acquisition02:42 The seven-day conversion window ceiling04:11 Why marketers and CFOs define a "good user" differently07:00 Predictions, confidence, and the timing tradeoff11:11 What actually feeds a prediction: the marathon analogy16:26 Why proxies like "level 5" break down17:42 How much data you need to build a model20:15 Value-based bidding and the accuracy misconception23:12 Managing outliers without breaking the strategy25:11 Real client story: Google Search Partners going haywire28:11 Whales vs outliers, and why hyper-whales backfire32:03 Signal engineering vs RTB34:05 User-level data, privacy, and reading the user mix back38:57 How Black Friday and seasonality hit signaling40:48 Why casual gaming is tricky for PLTV41:16 Three questions to ask before investing in a prediction model45:32 Where to find Itai and VoyantisTopics covered:- Signal engineering for mobile user acquisition- Predictive LTV and value-based bidding on Meta, Google, and TikTok- Confidence thresholds, latency trade-offs, and signal timing- How automated channels use signals: Advantage Plus, UAC, PMax- When D7 ROAS is already your best signal and PLTV will not move the needleLearn more:Episode Page : https://mobileuseracquisitionshow.com/episode/how-to-win-with-signal-engineering-itai-kafri/Connect with Itai on LinkedIn - https://www.linkedin.com/in/ekafri/Voyantis gap analysis - https://www.voyantis.ai/signal-engineering-gap-analysis

82% of top-grossing apps now take payment outside the app store. Patrick Stuart-Constant's team at Sociaaal ships 4,000 video ads a month, scaling to 10,000. The shift to web-to-app monetization isn't coming. It already happened.Part 1 of a two-part panel from a Funnelfox webinar, with Rocketship HQ as partner. Shamanth Rao moderated the conversation with Jacob Rushfinn (CEO, Botsi), Andrey Shakhtin (CEO, FunnelFox), Patrick Stuart-Constant (CEO, Sociaaal), Mike Gadd (VP Customer Success, Singular), and Elise Zareie (Head of Paid Social, Lingokids) on how paid acquisition teams design the path after the click.Andrey Shakhtin on why off-store attribution beats SKAN on speed, and how 2-5% payment fees unlock room to iterate. Patrick Stuart-Constant on scaling ad volume as a search space problem, and why cheaper AI creative grew his team instead of shrinking it (Jevons paradox). Elise Zareie on why web funnels only work with dedicated ownership inside the UA team. Mike Gadd on why the first renewal is the metric most teams miss. Jacob Rushfinn on the $1M revenue threshold before web funnels pay off, and the 10K to 20K monthly loss to budget for the learning phase.Video Chapters:00:00 Introductions and format02:40 The one shift teams have not priced in07:50 Andrey on the 82% off-store payments finding09:52 Mike on measurement across web and app, platform hell11:45 Elise on creative: lift-and-shift vs TikTok-native15:54 Patrick on the search space, 4K to 10K ads a month18:07 Jevons paradox: cheaper ads, bigger creative team19:30 Elise on where AI helps and where taste is still human21:39 What separates web-funnel winners from teams that quit25:27 Andrey on iteration pace correlating with revenue27:00 Who should not try web funnels: payments complexity28:42 Jacob on the $1M threshold and the learning-phase budget29:36 Common learning phase mistakes and how to short-circuit them32:00 Part 2 drops next weekTopics covered:- The shift to web-to-app monetization and off-store payments- AI creative production at scale, 4,000 to 10,000 ads a month- Web funnels: dedicated ownership vs side project- The $1M revenue threshold for going off-store- Learning phase mistakes on acquisition, funnel, and paywall- Measurement complexity across web and appLearn more:- Original webinar recording: https://www.youtube.com/watch?v=OYPDZlwLhNA- FunnelFox (webinar host): https://funnelfox.com- Rocketship HQ (partner): https://rocketshiphq.com- Jacob Rushfinn (Botsi): https://www.linkedin.com/in/jacob-rushfinn/- Andrey Shakhtin (FunnelFox): https://www.linkedin.com/in/andrey-shakhtin/- Patrick Stuart-Constant (Sociaaal): https://www.linkedin.com/in/patrick-stuart-constant/- Mike Gadd (Singular): https://www.linkedin.com/in/mike-gadd-27a16427/- Elise Zareie (Lingokids): https://www.linkedin.com/in/elise-zareie/- Shamanth Rao (Rocketship HQ): https://www.linkedin.com/in/shamanthrao/

How Ankit Nayal scaled organic TikTok to 50 million views with an AI content factory, and why half of them were wasted until conversion came first.Most founders who burn through their paid ad budget pivot to organic with one or two accounts and hope something works.Ankit Nayal pivoted to organic and went to 150 to 200 TikToks a day.He runs this for his app Flamme. He has crossed 50 million views. He told me more than half of those views were wasted, because conversion was not in his framework yet. The episode is about what he built once that became obvious.The path there started in a cave. After losing his ad budget in 2025, Ankit scrolled TikTok for four hours a day for two months. He compared it to having McDonald's every meal. Out of that came the VSC framework. Viral: an under-5,000-follower account with a 100K-view post that is still picking up trend score. Scalable: a format that replicates cleanly across accounts. Convertible: a video that actually pulls downloads. Memes pulled 0.1% conversion. A girl reacting to a hook pulled 0.5%. A 100K-view reaction beat a 2M-view meme on bang for buck.The system around the framework is more cumbersome than most posts about it admit. He started by filming himself and concluded that a brown man with an Indian accent was not the best fit for the American market. He moved to Russian creators sourced through Kwork.ru at one dollar a minute and twenty-five cents per ten-to-fifteen-second reaction. ChatGPT translation overhead killed that workflow. He moved to Sora 2, then to Seedance. Every clip gets broken into five-second blocks because the model starts hallucinating past five seconds. A CapCut filter layer with ten effects scrubs the plastic skin off AI faces. Phones get lined up on physical farms because the TikTok API gets content flagged.The funnel sequence he ends on is the part that stuck with me. Organic first, then UGC, then paid. Most founders run it backwards.Video Chapters: 00:00 Introduction03:00 Losing the paid ad budget on a dating app06:00 Four hours of TikTok a day for two months11:00 The VSC framework14:00 Why memes converted nothing18:00 Russian creators on Kwork20:00 Moving to Sora 2 and Seedance22:00 The CapCut plastic-skin filter23:00 The five-second hallucination limit26:00 Why lip sync breaks scale31:00 The phone farm38:00 Which products should not run organic TikTok39:00 Organic, then UGC, then paidTopics covered:- Organic TikTok at scale for consumer apps- The VSC framework: viral, scalable, convertible- AI UGC production with Sora, Seedance, and CapCut- Creator sourcing on Kwork and the limits of real UGC- Phone farms and TikTok content flagging- Why B2B founders should not run organic TikTokLearn more:https://mobileuseracquisitionshow.com/episode/[slug]/ - Episode page https://www.linkedin.com/in/annayal/ - Connect with Ankit on LinkedIn https://www.annayal.com/ - Ankit's website https://intelligentartifice.kit.com - Newsletter