NotionApps launched with a 825 interest score. Typing Mind pulled 825. Raw numbers are a start, but engagement ratio and category positioning tell you more. Both are below.
Side-by-side comparison of NotionApps and Typing Mind based on community engagement data.
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NotionApps launched with a 825 interest score. Typing Mind pulled 825. Raw numbers are a start, but engagement ratio and category positioning tell you more. Both are below.
| Category | NotionApps | Typing Mind |
|---|---|---|
| Artificial Intelligence | - | Yes |
| Maker Tools | Yes | Yes |
| No-Code | Yes | - |
| Notion | Yes | - |
| Productivity | - | Yes |
Hello Product Hunters! 😺 This is Sameer, co-founder of NotionApps. Thank you for checking out our launch! The Idea 💡 Jatin and I have been building tools in the no-code space for the past 4 years. And we use Notion for everything internal. We understand the strengths of the tool and also its pain po...
Hey PH Community! This is Jatin, the other co-founder of NotionApps. Sameer has already described what NotionApps does and how our users are using it. I wanted to take a step back and reflect on how we got here. We started building a different no-code tool back in late 2019. We struggled to gain eno...
Excited to hunt NotionApps! I think NotionApps has the potential to be a game-changer for users who want to create new and innovative apps with Notion. Here are a few specific things I like about NotionApps: - It's easy to use. Even if you're not a developer, you can create custom apps with NotionAp...
Hello everyone! It's Tony 👋 I was so annoyed by how ChatGPT slowly typed out the answers + kept logging me out every day, so I built a new UI on top of its API. Introducing https://typingmind.com ✨ Over the past week, I have added so many convenience features to enhance the overall chatting experien...
Tried the product and i love it! I find it interesting on the AI character development, which brings more fun when using, and also those super thoughtful feature like google search recommendations, or color highlights in the premium version. I might consider to substitute chat gpt with typing mind. ...
Will you be adding support for sending images to the GPT-4 API?
Typing Mind leads on raw interest score. NotionApps leads on engagement ratio. That split is worth paying attention to. Typing Mind attracted more initial eyeballs, but NotionApps's audience engaged deeper. For most buyers, engagement ratio is the better signal.
These products share 1 categories: Maker Tools. Moderate overlap suggests they target related but distinct use cases.
NotionApps is also tagged in No-Code, Notion, which Typing Mind isn't. That suggests NotionApps positions itself more broadly or targets an adjacent audience.
Typing Mind has unique category tags in Artificial Intelligence, Productivity. Different positioning can mean a different buyer profile, even within the same space.
NotionApps launched Sep 2023. Typing Mind launched Mar 2023. Both launched the same year, meaning they faced similar market conditions and competition levels.
NotionApps has a 0.31 engagement ratio (strong), based on 256 discussion threads across 825 interest points. That ratio puts it in the top tier for Maker Tools products. People who noticed it had opinions about it.
Typing Mind has a 0.18 engagement ratio (average), based on 150 discussions across 825 interest points. Average engagement for the category. Solid but not exceptional.
Within the Maker Tools category (418 total products), NotionApps ranks #7 and Typing Mind ranks #8 by interest score. NotionApps sits in the top 10 for the category.
NotionApps is in the top 2% of Maker Tools by interest. Typing Mind is in the top 2%.
Pick NotionApps if community size matters less to you than engagement depth; sustained discussion and active users are your priority; you need something that also covers No-Code.
Pick Typing Mind if you want the product with the larger community behind it; you need something that also covers Artificial Intelligence.
NotionApps: Build apps from Notion databases without coding. Start with your own data or with a template, and configure what data is shared with each user. Customize the app with login, menus, lists, forms, and 20+ components.
Typing Mind: Use ChatGPT with enhanced features like fast response, chat search, integrations, prompt library, etc. Use your own API Key, run locally on your browser, macOS App, and self-host available.
These products also compete in the Maker Tools category:
PH Hunters — Find & Connect with 100+ hunters for your next PH Launch (Interest: 749, Engagement: 0.19)
Product Hunt Workbook — 200+ templates, tasks & communities for a successful launch (Interest: 643, Engagement: 0.28)
Magiclight — Intelligent story creation agent that creates long videos (Interest: 624, Engagement: 0.19)
Rocketlane — A collaborative customer onboarding platform (Interest: 460, Engagement: 0.21)
MakerLead — Find top 100 open startups with verified monthly revenue (Interest: 435, Engagement: 0.27)
Quest — Figma to HTML with no-code, build delightful experiences (Interest: 360, Engagement: 0.68)
No. Interest is launch-day attention. Engagement ratio is a better quality signal. The product with more discussions per interest point usually has stronger product-market fit.
How directly these products compete. Three or more shared categories means they're going after the same user. One shared category means they approach the space from different angles. Zero overlap and they probably shouldn't be compared.
Comparisons are generated automatically when two products have enough data overlap. If the pair you want isn't here, the products might be in different categories or too far apart in engagement.
Either the product didn't meet our engagement threshold, or it doesn't share enough category tags with the other product to generate a meaningful comparison. We'd rather show no comparison than a misleading one.
Each product's data reflects its launch period. The comparison shows both products' engagement metrics from when they launched. The build date at the bottom of the page shows when the index was last refreshed.
Not yet. Current comparisons use launch-period data only. Post-launch tracking is on our roadmap.