‘Tech Twitter’, a time period roughly used to symbolize a group of tech fans on X (previously Twitter), is the birthplace of many nice AI instruments and in addition the place loads of instruments die as soon as builders uncover higher options. Following the recognition of Cursor, GitHub Copilot, and Windsurf, Lovable is presently capturing builders’ consideration resulting from its distinctive ease of use.
It seems that Lovable has dropped the barrier to entry for constructing apps and web sites to nearly zero, making it potential for just about anybody to grow to be a developer. AIM examined Lovable and efficiently constructed useful apps and web sites inside simply an hour of prompting, with out even touching a single line of code.
My buddy, who's a barber, wished me to create a touchdown web page for his new course enterprise.
It is a one-shot touchdown web page constructed with @lovable_dev. Fairly loopy!
I attempted 3 different instruments, and Loveable's first model was the very best this time. pic.twitter.com/m9pY28H1rF— Florin Pop
(@florinpop1705) March 26, 2025
For instance, Dan Denney, a senior software program engineer at DataCamp, managed to create a working internet app with out writing any code in any respect. In beneath three hours, his app was reside on an actual URL, syncing lists along with his accomplice in actual time. On his weblog, he described how a tough sketch in Excalidraw become a totally useful app, powered by Lovable.
In one other occasion, when Shep Bryan, founder and chief AI officer at Galaxy Mind AI, started experimenting with Lovable, he had no concept he was about to log over 200 hours constructing greater than 60 tasks.
In a weblog publish, he shared that what began as curiosity quickly grew to become an obsession with understanding tips on how to work alongside AI—not simply to generate code, however to construct full-stack functions collaboratively.
Definitely worth the Hype?
Denney and Bryan aren’t the one ones. Throughout boards, social media, and developer teams, extra builders are quietly—or generally loudly—gravitating in the direction of Lovable, steadily selecting it over options like Cursor, Bolt, or Windsurf.
Ahmer Sultan, product and software program engineering advisor at a stealth startup, shared the same expertise. To check Lovable and Cursor instantly, he gave each the instruments the identical immediate for a touchdown web page. Lovable executed instantly. “One huge immediate → working touchdown web page… clear and efficient,” Sultan revealed.
Cursor, then again, struggled. “It received caught…I needed to break the immediate into smaller steps…and nonetheless wanted extra trial and error.”
In case your purpose is to go from concept to prototype, Lovable is your greatest wager. Nonetheless, when you’re already deep right into a codebase and wish finer management, Cursor might have a bonus. This sentiment was echoed by Prajwal Tomar from ignytlabs, who stated Lovable can deal with 80% of MVP design whereas Cursor can maintain the remaining 20% of execution.
How I exploit @lovable_dev + @cursor_ai to construct MVPs 10x quicker
This workflow helps me skip the design section, automate 70% of the dev work, and keep versatile for fast modifications.
In the event you’re constructing with AI, you’ll wish to see this. pic.twitter.com/0Nc0Jwib3Q— Prajwal Tomar (@PrajwalTomar_) March 31, 2025
Simply as Cursor grew to become the fastest-growing SaaS in historical past, attaining $100 million in annual recurring income (ARR) inside 21 months of its inception, Lovable is following the same trajectory, scaling from zero to $17 million ARR in three months as of March. What started as an open-source software for GPT Engineer, advanced right into a full-fledged firm after garnering 56,000 stars on GitHub.
One of many founders, Anton Osika, even acknowledged that dropping the barrier to entry to construct merchandise was the purpose. “I at all times felt [that] constructing merchandise takes too lengthy. So I began Lovable to repair this,” he stated through the product launch.
Backed by distinguished figures like Meta board member Charlie Songhurst and Hugging Face co-founder Thomas Wolf, Osika, alongside Fabian Hedin—the inventor of Stephen Hawking’s laptop interface—based Lovable with the imaginative and prescient of “constructing the final piece of software program”.
Lovable positions itself as an AI software program engineer—not only a coding assistant. It’s not making an attempt to put in writing a line or two of helper features; as an alternative, it’s constructed to develop touchdown pages, wire backend, hook up APIs, and write considerate documentation.
INSANE: Grok 3 + Lovable = BEST AI Agent Apps!!!!
Grok 3 generated the code for an AI agent that manages your Gmail – ship, reply, and draft effortlessly
Right here's the way it works:
– Join along with your Gmail utilizing Composio
– Use Lovable to construct a particularly cool frontend for the… pic.twitter.com/JMgwwf14vk— Karan Vaidya (@KaranVaidya6) February 25, 2025
For All of the Reward, Lovable Isn’t With out Flaws
Adithya S Kolavi, founding father of CognitiveLab, informed AIM that Loveable can ‘vibe code’ and construct fully-fledged apps, full with backend performance. “Not solely can it implement useful options successfully, however the UI it generates can also be considerably higher in comparison with rivals like Bolt or v0,” Kolavi stated.
In accordance with him, what stands out probably the most about Lovable is its strong implementation of an AI agentic system. “The person expertise is easy, and the integrations with Supabase make it really viable for constructing end-to-end functions,” he added.
“It’s clearly extra common user-focused. So, whereas it’s a bit tough to instantly edit code, it compensates with nice GitHub connectivity and seamless workflows.”
A developer on Reddit took the fast prototyping capabilities to the following stage. In a self-imposed problem, they constructed 30 apps in 30 days utilizing Lovable. That journey went viral, drawing in half 1,000,000 views on X. But, regardless of its success, similar to different instruments, Lovable isn’t with out its flaws.
Advanced backends proceed to be tough. Whereas it handles Supabase properly, builders have reported that something past “commonplace setups” rapidly turns into difficult. It’s additionally not low-cost. Bryan famous that his most popular workflow generally takes two to a few credit per function iteration. This price can add up rapidly for hobbyists.
Moreover, fine-grained management isn’t Lovable’s forte. With regards to refactoring a particular part or dealing with intricate structure work, instruments like Cursor and GitHub Copilot proceed to carry out higher.
Cursor, for example, is good for structured, step-by-step coding. Builders who wish to plan out structure, break up duties into manageable items, and management execution each step of the best way are inclined to want Cursor—even when it means extra work upfront.
For early-stage founders, indie hackers, and experimental builders, it lowers the barrier to entry dramatically. As a substitute of ready weeks to validate an concept, they’ll do it in a day.
The publish How Lovable is Stealing Builders Away From Cursor and Windsurf appeared first on Analytics India Journal.
