>Fast.ai vs Lovable
Fast.ai AI Company Profile & Rankings • Lovable AI Company Profile & Rankings
AI Activity Comparison
Fast.ai
Fast.ai is a non-profit research group focused on deep learning and artificial intelligence, founded in 2016 by Jeremy Howard and Rachel Thomas. Its core mission is to democratize deep learning through education. The organization is best known for providing a free massive open online course (MOOC), 'Practical Deep Learning for Coders,' which requires only a knowledge of Python. The course covers topics including image classification, natural language processing, and various deep learning architectures. In 2018, students from the program won the CIFAR-10 image classification benchmark in Stanford’s DAWNBench competition. The group continues its research and educational efforts to make deep learning more accessible.
Lovable
Lovable is a Swedish software company that provides a platform for automated software development through user-submitted prompts. Founded in Stockholm in 2023 by Anton Osika and Fabian Hedin, the company is incorporated in Delaware. The platform is a commercial evolution of the open-source project GPT Engineer. In February 2025, Lovable raised a $200 million Series A funding round led by Accel at a $1.8 billion valuation. The company later raised $330 million in a Series B round in December 2025, led by CapitalG and Menlo Ventures, achieving a $6.6 billion valuation. Other investors included Khosla Ventures, Salesforce Ventures, and Databricks Ventures.
Fast.ai versus Lovable: Live 2026 Comparison
Lovable leads in development velocity with 6 events this week (significantly more than Fast.ai), while Fast.ai holds the edge in community sentiment at 29% positive. This comparison draws on 6 tracked events from the past 7 days — including product launches, research papers, and community discussions — scored through our 5-dimension scoring methodology. Our Hype Gap analysis shows Lovable has more authentic positioning (gap: 3.7) compared to Fast.ai (10.0). Data refreshes every 5 minutes. Compare other AI companies →
Fast.ai vs Lovable: Key Signals
Data refreshes every 5 minutes. Compare other companies →
Fast.ai vs Lovable: Head-to-Head
📊 Visual Comparison
Compare 5 key metrics on a 0-100 scale. Larger area = stronger overall performance.
Metric Definitions:
What Separates Fast.ai from Lovable
Who Ships Faster: Lovable or Fast.ai?
Lovable logged 6 events this week vs Fast.ai's 0 — a significant difference in product launches, research papers, and code commits.
What Users Think of Fast.ai vs Lovable
Fast.ai has 29% positive sentiment vs Lovable's 17%. The 12-point gap is modest, meaning both have comparable community trust.
Does Lovable Deliver on Its Promises?
Lovable's hype gap of 3.7 vs Fast.ai's 10.0 means Lovable delivers on its promises — marketing claims closely match actual capabilities.
Where Fast.ai and Lovable Rank
Fast.ai at #105 outranks Lovable at #162 among 2,800+ AI companies. The 57-rank gap reflects different market tiers and adoption levels.
Fast.ai vs Lovable: Momentum Trend
Both companies show stable or declining momentum, suggesting a period of consolidation rather than rapid expansion.
Latest Signals: Fast.ai vs Lovable
Latest tracked events for each company — product launches, research papers, community discussions, and more.
Fast.ai(0 events this week)
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations
• ArXiv AI (cs.AI)GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations
• ArXiv Machine Learning (cs.LG)[D] Classification of low resource language using Deep learning
• Reddit - r/MachineLearning HotBERTs that chat: turn any BERT into a chatbot with dLLM
• Reddit - r/LocalLLaMA NewAutomated Copyright Infringement Detection via Semantic Fingerprinting and Dynamic Thresholding
• Dev.to AI Tag
Lovable(6 events this week)
Two kinds of AI testing shipped this month. They solve completely different problems.
• Dev.to AI TagLovable Hits $400M ARR with 146 Employees - $2.74 Million Per Person
• Dev.to AI TagBolt vs Lovable vs v0 - I Built the Same App With All Three
• Dev.to AI TagVibe Coding for Non-Technical Founders: How to Build Your SaaS Without Writing a Single Line of Code
• Dev.to AI TagLovable App Exposes 18,000 Users: The Vibe Coding Security Crisis Nobody Saw Coming
• Dev.to AI Tag
Analysis: Fast.ai vs Lovable
Fast.ai (#105) leads Lovable (#162) by 57 ranks, reflecting a meaningful difference in overall market position and activity.
Lovable is shipping faster with 6 events this week, compared to Fast.ai's 0.
Sentiment is closely matched — Fast.ai edges out at 29% vs 17%, suggesting comparable community trust. Lovable maintains more authentic positioning with a hype gap of 3.7, compared to Fast.ai's 10.0 — a key signal for evaluating long-term reliability.
Watch for: Fast.ai's latest signal ("GECOBench: A Gender-Controlled Text Dataset and Benchmark fo...") and Lovable's ("Two kinds of AI testing shipped this month. They solve compl...") could shift this matchup.
Want More Details?
View full company profiles with event history and trend analysis
Why Compare Fast.ai vs Lovable?
Cross-Tier Comparison
Comparing Fast.ai (#105) with Lovable (#162) reveals the 57-rank gap between different market tiers. Useful for understanding what separates top-tier from emerging players.
Who Compares Fast.ai and Lovable
Enterprise Buyers
Comparing market leader against emerging alternative to balance stability vs innovation.
"Fast.ai for enterprise-grade reliability, Lovable for cutting-edge features."
Key Differences Between Fast.ai and Lovable
- **Activity**: Lovable shows 6 more events in 7 days, suggesting higher development velocity.
Choosing Between Fast.ai and Lovable
Consider Fast.ai if you value:
- • Proven market leadership (#105)
- • Stronger community sentiment
Consider Lovable if you value:
- • Higher development activity
- • Higher substance-to-hype ratio
Create Your Own Comparison
Compare any two AI companies from our database of 100+ tracked companies. Get instant access to real-time metrics, activity data, and marketing honesty scores.