Vulkaron of Tartaria

RespectASO v2.27.0 is out. 🌍 ASO research across all 175 App Store storefronts, up from 30. Also new: • Opportunity Finder runs in the background so you can navigate the tool as you want while it is running the simulator. • Opportunity scores now estimate even more realistic downloads. • 5 clearer keyword tags (updated from previous versions) • More reliable AI research Enjoy! 🥳

RespectASO v2.22.0 is out! 🥳 And it comes with some major updates! And here is the list of major updates and new features in this release: Apple's search data, now through Apple's official API: - - - The Apple Ads popularity source has been rebuilt on Apple's new official Apple Ads Platform API. The sign-in window is gone: connecting is a one-time, five-minute API key setup - no campaigns, no spend, no payment method - and your key never leaves your computer. - Official weekly data. RespectASO syncs Apple's official top search terms per storefront and category every week, automatically. Keywords Apple reports get Apple's own 1–100 value; the rest are covered by the estimate, clearly labeled. - Works everywhere. The Apple source now works in the desktop app, the browser edition, and Docker - it was native-Mac-only before. - Faster scoring. After the weekly sync, every popularity lookup is instant and local - scans and analyses no longer wait on Apple. Top Search Terms - a new Pro tab: - - - Browse what people actually search on the App Store: Apple's official most-searched terms per storefront and category, with rank, popularity, and Apple's 1–5 tier. - See the weekly climbers, fallers, and brand-new terms at a glance. - Follow any term's week-by-week history with sparklines and a full chart. - Track any term for the app you choose, or send it straight to the AI Researcher - one click each. - If you run Apple Ads campaigns, your ads' impression share per search term appears on the dashboard. A smarter, measured estimate: - - - The built-in popularity estimate has been recalibrated against hundreds of Apple's official values, so both sources now speak the same 1–100 scale and popular brand keywords are recognized far more reliably. Your keyword history is re-scored automatically so everything stays comparable - expect the numbers to shift once, by design. Every popularity badge now explains itself on hover: which source produced the number, and exactly how it was derived. Use any AI model, from any provider: - - - OpenAI, Anthropic, and Google Gemini now work like OpenRouter already did: type any model ID the provider offers, run the built-in test, and it's ready - new models work the day they ship, no app update needed. A new AI response deadline (Settings, default 60 minutes) stops a stalled model from eating your afternoon, and the progress view now shows elapsed time and warns when a model is responding unusually slowly.

The next release of RespectASO will be benefiting a lot from the new Apple Ads Platform API as well. Users will be able to select any of internal popularity estimations and estimations from AAP API. AAP API does not cover ALL the keywords though, it comes with some limitations. But whenever a keyword is missing in AAP API, RespectASO's own popularity estimation will be presented. And, RespectASO's popularity estimation is also being updated in the next release. The next release will be out this week.

RespectASO - I built a free, open-source, self-hosted ASO tool for App Store. Link to the repo (with instructions on how to use it) in the comments below. WHY FREE & WHY OPEN-SOURCE? What any ASO tool gives you are just algorithmically calculated estimations. I have tried many and often ended up being disappointed. And I can say they are not consistent at all. I feel like they probably over-complicate things in their solutions where over-complication does not necessarily create a better solution. This tool has its own logic for finding popularity and difficulty, and it comes with additional insights which is not available in other tools I tested, i.e. how hard it is to rank in Top 5, Top 10 and Top 20 in the search results for a given search term in a given country. And it helps finding the best country to rank for a given keyword. WHY SELF-HOSTED? I wanted to provide this as free. If I hosted the whole thing at a site, I suspect that abuse would be one of the things I would need to deal with, and it would also come with lots of infrastructure costs. And users would share their data suspecting how the hack this is possible for free of charge. Hosting locally is extremely easy, can be done in less than 2 minutes. HOW IT WORKS IN A NUTSHELL? It uses the public iTunes Search API to estimate keyword popularity (6-signal model), difficulty (7 weighted factors), and downloads per ranking position. You can scan 30 App Store countries, track your app's rank, and export to CSV. It has all the core functions one can ask for.

Data Has Become a "Toxic Asset" (The California DROP Factor) The most urgent shift in 2026 is that holding user data now carries a direct financial penalty. With the California Delete Act and the launch of the DROP platform on January 1, 2026, consumers can wipe their data from hundreds of brokers with a single click. The Risk: If your analytics tool retains linkable user profiles, you may be classified as a data broker. You would then be legally required to build complex deletion APIs or face fines of $200 per request, per day. Respectlytics turns this liability into an asset. Because the "Return of Avoidance" architecture (RAM-only, rotating IDs) never creates a permanent user profile, you have no data to delete. You are architecturally exempt from the operational nightmare of DROP, saving your clients legal headaches and infrastructure costs. App owners should genuinely cares about this? #privacymatters