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Botsheets
✓ verifiedFree trial
No-code chatbots powered by Google Sheets that read, answer from, and write data back to your spreadsheets.
2.0K visits/mo6.4K saves
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Codeamigo
✓ verifiedFree
AI-assisted coding-tutorial tool for learning to code; now unmaintained as its creator moved to another project.
481 visits/mo
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20Paths
✓ verifiedFreemium
Create interactive, AI-annotated product demos and how-to guides to convert leads and onboard customers.
351 saves
Pricing
Lite: $19/mo (10,000 requests)
Pro: $49/mo (100,000 requests)
Platinum: $149/mo (unlimited requests)
Free trial available
No public pricing
Solo: $0 (2 demos, 2 guides)
Pro: $35/mo (unlimited demos)
Team: $15/mo per user (min 10 users)
No public pricing
Core features
- ✦Chatbots that read and write Google Sheets
- ✦Extracts conversation data into spreadsheets
- ✦Manychat plugin and website widgets
- ✦Generate charts and tables from data via chat
- ✦Google Slides generation from sheet data
- ✦Template library, unlimited chatbots
- ✦AI-powered coding tutorials
- ✦Interactive, developer-style lessons
- ✦Guided learning with modern tools
- ✦Demo project walkthrough
- ✦Waitlist sign-up (courses coming soon)
- ✦Click-to-capture demo creation
- ✦AI annotations and 12+ language translation
- ✦Branching, CTAs and personalization
- ✦Custom branding and blur/zoom
- ✦Embed and share anywhere
- ✦Engagement analytics
- ✦Weekly newsletter with high-quality insights
- ✦Deep dives into ML topics
- ✦Tools used by Machine Learning engineers
- ✦ML System design course (coming soon)
- ✦YouTube channel (coming soon)
- ✦Archive of past articles
Use cases
- →Replacing web forms with data-collecting chatbots
- →Answering customer questions from spreadsheet data
- →Automating Manychat flows with live data
- →Turning sheet data into presentations
- →Learning to code with an AI assistant
- →Following interactive coding tutorials
- →Practicing with guided project examples
- →Product-led growth demos
- →Customer onboarding guides
- →Sales demo leave-behinds
- →Self-service help documentation
- →Upskilling as a Machine Learning engineer
- →Learning about ML systems at scale
- →Staying updated on the latest ML tools and techniques
- →Understanding ML system design principles
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