Which SaaS get customers from X now?
SUMMARY
The SaaS getting customers from X now are mostly X-native tools, founder software, developer products, AI SaaS and creator tools, especially when one person can understand the product, try it and buy it without a long approval process.
The strongest fresh evidence comes from products built for X itself. SuperX, Stanley for X and SupaBird have an obvious advantage: the person discovering them on X has already proved they use the platform enough to care about the product.
That creates an important selection effect. X-native tools prove that X can convert paying users, but they should not be used as evidence that the platform works equally well for payroll software, school administration, restaurant operations or other unrelated SaaS categories.
Outside X-native software, the recurring winners are products for founders, developers and startup teams. ShipFast, SiteGPT and Ferndesk all sell problems that are easy to recognize publicly and can usually be evaluated by the same person who discovers them.
X now looks stronger as a demand-creation channel than as a conventional referral channel. Native engagement can still be meaningful while external-link performance and publisher referral traffic have deteriorated, so a customer may move through replies, a profile, a DM or branded search before converting.
This makes attribution unusually messy. A sale influenced by X can easily appear as direct traffic, Google, word of mouth or an unknown source, which means last-click analytics probably understate X in some founder-led SaaS businesses.
The Ferndesk case is useful because it cuts against the viral-launch stories. A relevant audience helped, but the company still needed months of shipping, customer conversations, demos and repeated distribution to move from its first paying users to meaningful MRR.
X is particularly good at shortening the distance between product proof and purchase. A coding result, generated design, chatbot answer, analytics screenshot or growth workflow can be demonstrated in the feed before the reader ever visits a landing page.
The channel gets weaker as the buying process gets longer. Enterprise SaaS can still be discovered on X, but once security, procurement, finance and management enter the deal, X is more likely to influence the pipeline than receive clean credit for the final purchase.
The practical dividing line is not simply price or follower count. X works best when the buyer is concentrated on the platform, the product can be shown quickly, the founder can participate personally and the path from curiosity to payment is short.
Does X still get SaaS companies real customers today?
Yes. X still gets SaaS companies paying customers today, but the companies seeing the clearest results are heavily concentrated around founders, developers, AI, creators and products built for X itself.
X is no longer a broad social platform where almost any software company can expect useful distribution. Pew’s latest U.S. social-media survey found that around one in five American adults use X, compared with 84% for YouTube, 71% for Facebook and 50% for Instagram. Only about 10% of U.S. adults said they use X every day.
Yet the platform still packs together some unusually valuable SaaS audiences. AI researchers, startup founders, developers and investors continue to use X heavily enough that Axios recently described it as the AI industry’s live “group chat.” That description matches what we see in current SaaS results.
SuperX, which helps users grow on X, reported $23,000 MRR and roughly 650 paying customers by mid-2026 after making X its primary growth channel. Stanley for X launched this year and reported 777 signups in its first 24 hours and $4,000 MRR within 48 hours. SupaBird, another X growth product, reported more than $2,000 withdrawn from Stripe over a recent 30-day period after growing mostly through organic marketing and building publicly.
The pattern extends beyond software built specifically for X. Ferndesk, an AI documentation product for SaaS teams, reported reaching $2,000 MRR after 228 days while using X as one of its main acquisition channels. SiteGPT earlier used a Twitter launch as part of the push that took the AI chatbot product to $10,000 MRR in roughly one month.
So yes, X still sells SaaS. But today the strongest results come from products whose customers already spend time talking about software, AI, startups, content or coding on the platform.
Why does X feel worse for marketing if SaaS companies still get customers there?
X feels worse because it has become much weaker at sending people to websites, even while conversations inside X can still create customers.
The decline in outbound traffic is large enough that we should take it seriously. Chartbeat data published this year showed that global Twitter/X referral traffic to its publisher clients had fallen around 70% from 2022 levels. Publishers are different from SaaS companies, but a decline of that size tells us something important about how people now move through X.
Buffer found an even clearer change in its analysis of 18.8 million X posts from 71,000 accounts. By August 2025, link posts from regular accounts had a median engagement rate of effectively 0%. Text posts were around 0.40%, images around 0.20% and video around 0.25%. Premium accounts performed much better overall, although their link posts still lagged text and video.
At the same time, X has not simply stopped generating interaction. Buffer’s much larger 2026 social-media report, based on more than 52 million posts across major platforms, found that X’s median engagement rose from roughly 1.96% to 2.83% between 2024 and 2025. Buffer itself warns that part of that 44% jump could come from changes in the sample or platform mechanics, so we should not turn it into a sweeping comeback story. Still, people are clearly interacting inside the feed.
That creates a strange situation for SaaS marketers. A founder may get replies, follows, profile visits, DMs and branded searches from a post while receiving surprisingly few direct clicks from the post itself.
X currently looks much better as a place to create demand than as a straightforward referral channel.
| What is happening on X | Recent evidence | What it means for SaaS |
|---|---|---|
| Native engagement | Buffer measured median engagement rising from about 1.96% to 2.83% | People still interact with posts |
| External links | Regular-account link posts reached effectively 0% median engagement in Buffer's study | Dropping product links into posts is a weak strategy |
| Referral traffic | Chartbeat measured a roughly 70% decline from 2022 for publishers | X sends far less conventional web traffic than before |
| Founder-led selling | Current SaaS founders still report customers from X | Replies, profiles, DMs and recognition can matter more than clicks |
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Get the full database →Which SaaS get customers from X most consistently?
SaaS products built for X users have the clearest customer-acquisition fit right now.
SuperX is the strongest recent example we found. The product combines post research, analytics, AI writing, scheduling and other tools for people trying to grow an X account. Founder Rob Hallam reported that SuperX reached $1,000 MRR on launch day and later climbed to $23,000 MRR, with X remaining its main growth channel.
Stanley for X produced an even faster launch. Co-founder Vitalii Dodonov turned the workflow of a professional X ghostwriter into an AI product priced from roughly $30 per month. Stanley generated 777 signups during its first day and reported $4,000 MRR after 48 hours.
SupaBird follows the same pattern at a smaller scale. Founder Farid Shukurov built it to help creators find ideas, improve hooks and grow X accounts. In a recent founder interview, he reported more than $2,000 in Stripe withdrawals over the previous 30 days after relying on organic distribution, SEO and public building rather than paid acquisition.
Typefully and Hypefury provide older but useful confirmation that this is a durable category rather than one good launch. Typefully says more than 10,000 customers use its writing and social-publishing software. Hypefury grew by selling Twitter automation directly to people already trying to grow on Twitter.
The customer is already sitting inside the product’s natural environment in all of these examples. Someone discovering Stanley, SuperX or Typefully on X has already proved that they use the platform enough to care about improving their results there.
That is about as clean as product-channel fit gets.
Which SaaS outside the X-tools category are still getting customers from X?
Developer tools, AI SaaS and founder-focused software are the strongest non-X categories we found getting customers from X.
ShipFast is the obvious founder-focused example. Marc Lou built the Next.js boilerplate for people who want to launch software faster, then promoted it to an audience of makers and developers he had built publicly. ShipFast generated roughly $6,000 during its first 48 hours and around $40,000 in its first month. The product now says more than 8,000 makers have used it.
SiteGPT shows the same dynamic with an AI product. Founder Bhanu Teja had roughly 10,000 Twitter followers when he launched an AI chatbot that could learn from a company’s website. The Twitter launch spread to Hacker News and Product Hunt, helping SiteGPT reach about $10,000 MRR within one month and around $15,000 MRR several months later.
Ferndesk is a slower and arguably more useful example because it avoids the viral-launch bias. The AI help-center product reached $1,000 MRR after roughly five months and $2,000 MRR after another two and a half months. Founder Wilson Wilson already had a sizeable audience across X and LinkedIn, but still described growth as a daily grind involving customer conversations, feature launches, communities and content.
Design-oriented software can also fit X when its output looks good in the feed. Products that generate websites, interfaces, logos, videos, charts or screenshots can turn a normal product demonstration into the post itself.
These examples have one thing in common: the product can be understood quickly by a technically curious individual who can usually try it without asking a manager for permission.
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GET THE FULL DATABASE → $49Why is AI SaaS especially well suited to X now?
AI SaaS fits X unusually well today because the people building, testing and buying new AI tools still gather there in real time.
That concentration is visible well beyond indie hackers. Axios recently highlighted X as one of the main places to follow AI researchers, model-company employees, investors and operators as new models and products appear. Major releases can trigger technical discussions on X within minutes.
This gives AI SaaS founders something most software categories do not have: a large pool of potential early adopters who actively enjoy testing unfinished technology.
SiteGPT benefited from exactly that environment during the first generative-AI wave. Ferndesk now sells AI-powered documentation to fast-moving software teams. Tools for coding, agents, model evaluation, image generation and AI workflows also produce demonstrations that are easy to understand without leaving the feed.
The broader developer data helps explain why that audience is valuable. JetBrains found that 85% of developers in its 2025 survey were regularly using AI tools for coding or development. Stack Overflow found 84% of respondents were already using or planning to use AI tools in their development process.
When a market changes this quickly, discovery has real value. People are actively looking for new workflows instead of waiting for a familiar vendor to sell them something.
X currently has a lot of those people in one place.
Why do developer tools still sell well on X?
Developer SaaS works on X because the person discovering the product can often understand it, test it and pay for it alone.
That short buying path appears repeatedly in successful founder stories.
ShipFast is easy to grasp: pay for a software boilerplate and skip hours of setup. SiteGPT is similarly concrete: give it a website and create a chatbot trained on that content. AI2SQL turns plain-English requests into SQL queries. Each product solves a problem a technical user can recognize immediately.
Developers also make good X customers because demonstrations travel well. A founder can post a short video of an API call, a coding agent completing a task, a database query being generated or an application being deployed. The potential buyer sees the output before visiting the site.
Compare that with something like enterprise accounting migration software. A screenshot tells the reader very little, several stakeholders need to approve the purchase and implementation may take months.
Developer tools have almost the opposite sales process.
That does not mean X dominates developer acquisition. GitHub, search, documentation, Reddit, Hacker News, YouTube and increasingly AI assistants can all be major discovery channels. But X still gives technical founders a remarkably short route from “look what I built” to “I just paid for it.”
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Building in public still gets SaaS customers, but the useful version today is much closer to showing repeated proof than narrating every tiny startup milestone.
The recent Ferndesk story is a good reality check. Wilson Wilson had around 40,000 followers across X and LinkedIn and still needed months to reach $2,000 MRR. His weekly process combined shipping features, recording demos, creating content, talking with customers and distributing updates across social platforms and communities.
SuperX founder Rob Hallam had also spent years building products that made little or no money before X distribution started working for him. One public post about those failures reportedly reached around 200,000 views and led to freelance opportunities. He later built a much larger audience around practical product-building content before SuperX took off.
Marc Lou followed a similar path. His large founder audience eventually became a major distribution asset for ShipFast and later products, but he had posted for a long time before that audience became commercially useful.
Follower count therefore helps, but audience relevance is much more important. Ten thousand developers who launch side projects are extremely valuable if we sell a deployment tool. They are much less useful if we sell scheduling software to dental practices.
The best public-building content also tends to show something buyers care about: a useful feature, a result, a customer problem, a benchmark, a product comparison or an unusually transparent business lesson.
Revenue screenshots can attract attention. Product proof is more likely to attract customers.
Is X customer acquisition really content marketing or is it sales?
For many SaaS founders getting customers from X now, the channel works more like social selling than traditional content marketing.
The distinction becomes obvious when we follow the customer path.
Someone may first see a founder explaining a problem. A few days later, they see a product demo. Then they read a reply from an existing customer, follow the founder, visit the profile and eventually search the product name on Google or open a DM.
Standard attribution can easily give that conversion to Google, direct traffic or even “unknown.”
That helps explain why X can feel commercially useful even while referral traffic is weak. A post does not have to send hundreds of clicks to create revenue.
For smaller SaaS companies, replies and DMs can become particularly important. Founders can search for people openly discussing the problem their product solves, join the conversation and continue privately when there is genuine interest.
The process looks much closer to a lightweight sales funnel than to publishing blog posts and waiting for clicks.
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STEAL WHAT WORKS → $49Which SaaS buyers are easiest to reach on X now?
Founders, developers, AI practitioners, creators and startup marketers are currently the easiest SaaS buyers to reach on X.
Pew’s latest U.S. demographic data helps put some boundaries around the audience. Around 33% of adults aged 18–29 reported using X, compared with 25% of 30–49-year-olds, 16% of 50–64-year-olds and 10% of people aged 65 or older. Men also reported higher usage than women.
Those demographics alone do not prove that X is a good SaaS channel. The company examples tell us much more.
SuperX sells to X power users. Stanley sells to founders and creators who want better X content. ShipFast sells to software builders. SiteGPT initially spread among founders and technical users. Ferndesk sells documentation software to SaaS teams.
Again and again, the product lands inside communities that are already unusually active on X.
The evidence gets much thinner once we move toward restaurant owners, dentists, local retailers, school administrators or traditional operations teams.
| SaaS buyer | Current fit with X | What we see |
|---|---|---|
| Startup founders | Very strong | Dense founder network and direct buying authority |
| Developers | Strong | Products can be demonstrated and tried quickly |
| AI builders and power users | Very strong | X remains one of the main live AI discussion networks |
| Creators | Strong | Audience and content tools naturally fit the platform |
| Startup marketers | Strong | Heavy overlap with founder and creator communities |
| Traditional SMB operators | Mixed to weak | Buyers are less concentrated on X |
| Enterprise buying committees | Weak for direct conversion | One interested user rarely controls the full purchase |
Which SaaS probably should not rely on X for customer acquisition?
Vertical SaaS aimed at buyers who rarely discuss their work publicly on X should be very cautious about making X a primary acquisition channel.
Think about payroll software for local businesses, restaurant inventory systems, construction compliance products, medical-practice administration or software for schools.
Those markets can be excellent. Their buyers simply tend to gather elsewhere.
Search often captures their intent more directly because someone types the exact operational problem into Google. Industry conferences, trade groups, outbound sales, marketplaces, local networks and channel partners can also reach them with much less wasted attention.
The same issue appears in large enterprise software. An employee may discover a product on X, but that rarely completes the purchase. Security, procurement, management, legal and finance can all become involved.
X can still create awareness in those markets. We just find much less evidence that it regularly becomes the main source of customers.
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Get the full database →Can enterprise B2B SaaS actually get customers from X?
Enterprise B2B SaaS can get deals started on X, but direct X-to-purchase conversion becomes much harder once contracts are large.
Technical infrastructure shows why.
An engineer might discover a database, cloud tool or observability product from a founder's posts. That engineer could become an internal champion. But a serious deployment may still require architecture review, security approval, procurement and a budget owner.
Several months can separate the first X interaction from the signed contract.
That makes attribution messy. A company might reasonably say that X influenced a large pipeline, while its analytics show almost no customers whose final recorded source was X.
Founder credibility can still be valuable here. Technical buyers often want to know how the people behind an infrastructure company think. An active founder can build familiarity with engineers, future employees, investors and customers at the same time.
We should simply demand stronger evidence before saying X is actually the primary customer-acquisition channel for an enterprise SaaS business.
Is X better for launching a SaaS than growing one for years?
For many SaaS companies, X is now better at creating the first burst of customers than remaining the dominant growth channel forever.
SiteGPT shows the launch effect clearly. Its Twitter launch generated attention, Hacker News amplified it the following day and Product Hunt added another wave. That sequence helped the company get to around $10,000 MRR within one month.
ShipFast also converted concentrated founder attention very quickly, bringing in roughly $6,000 over its first two days and around $40,000 during the first month.
But mature SaaS companies usually develop other growth loops.
Marc Lou's later analytics product DataFast is useful here. His existing founder audience gave the product an obvious launch advantage, yet he later said word of mouth had become a major source of customers.
That is what we would expect from a healthy product. X solves the cold-start problem, early users tell other people, branded search grows, SEO compounds and integrations or product virality start contributing.
The strongest founders use X to get momentum rather than designing a business that can survive only while their posts keep performing.
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GET THE FULL DATABASE → $49Are direct links still worth posting on X?
Direct product links are still worth using on X, but leading every post with a URL is currently one of the weakest ways to distribute SaaS content there.
Buffer’s 18.8-million-post study makes this unusually clear.
By August 2025, normal X accounts had effectively zero median engagement on link posts in Buffer's dataset. Text posts were around 0.40%, videos around 0.25% and images around 0.20%. Premium accounts still received engagement on links, although text and video performed much better.
That helps explain the style of SaaS marketing we increasingly see on X.
A design tool can post the design. An analytics product can show the chart. An AI coding product can show the agent completing a task. A founder can explain a useful workflow directly in the post and leave the product name in the profile or replies.
The reader gets value before being asked to leave X.
As we saw above, referral traffic has also fallen sharply compared with several years ago, so there is little reason to build an X strategy around sending every impression straight to a landing page.
| X post format in Buffer's study | Median engagement for regular accounts around Aug. 2025 |
|---|---|
| Text | ~0.40% |
| Video | ~0.25% |
| Image | ~0.20% |
| Link | ~0% |
Does X work better for cheap SaaS than expensive SaaS?
X converts much more naturally for cheap, self-serve SaaS because the person seeing the post can often become a paying customer immediately.
Look at the strongest direct examples.
Stanley starts in the tens of dollars per month. SupaBird sells to individual creators. Typefully is self-serve. ShipFast can be bought by one developer. SuperX sells subscriptions to people managing their own X growth.
In each case, the reader can understand the product and pull out a credit card.
Higher-priced B2B software behaves differently. Someone may discover a $30,000-a-year product on X, but they may need a manager, procurement team or finance department before spending anything.
X can still generate those leads. The revenue just moves much further away from the original post.
This is why screenshots of “pipeline generated from X” deserve careful reading. Pipeline influenced by X can be commercially important, but it tells us something different from 300 customers discovering a $29 SaaS on X and subscribing themselves.
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Get the full database →Is X better than LinkedIn, Reddit or Hacker News for SaaS customers?
X is currently strongest for repeated founder visibility, while LinkedIn, Reddit and Hacker News each beat it in specific SaaS situations.
Hacker News can deliver an enormous burst of technical attention to the right launch. SiteGPT benefited from exactly that after its Twitter debut. The weakness is consistency: founders cannot reliably produce a front-page Hacker News post every week.
Reddit gives SaaS companies access to extremely specific problems. A person asking for help inside a niche subreddit can have much higher immediate intent than someone casually scrolling X. The trade-off is that Reddit communities are often hostile to obvious promotion, so the product has to fit the conversation.
LinkedIn reaches a much broader professional audience. Buffer’s latest cross-platform data also puts LinkedIn well above X on median engagement. For SaaS targeting HR leaders, finance teams, sales managers or corporate executives, that audience often makes more sense.
X keeps one unusual advantage: founder identity can compound for years. The same account can discuss an industry, launch products, answer customers, meet other founders, recruit people and sell software without feeling completely out of place.
That combination is particularly powerful for small technical companies.
| Channel | Particularly good for | Main weakness |
|---|---|---|
| X | Founder brands, AI, developers, creators, repeated exposure | Weak links and highly uneven buyer fit |
| Professional B2B buyers and larger companies | Less concentrated indie-builder culture | |
| Specific problems and niche buying intent | Strong resistance to promotion | |
| Hacker News | Technical products and launches | Traffic is episodic and difficult to repeat |
What do the SaaS companies winning on X have in common?
The SaaS companies winning customers on X today usually combine an easy-to-find buyer, a simple product and a short path from curiosity to purchase.
The first recurring trait is public demand. Developers publicly discuss coding problems. Founders complain about launch problems. Creators talk about growing their audience. AI users constantly compare new tools and workflows. A SaaS founder can actually see these problems being discussed.
The product is also easy to understand. “Grow your X account,” “ship a SaaS faster,” “turn your website into an AI chatbot” and “keep your help center updated automatically” can all be understood within seconds.
Then comes purchasing authority. Many X-first SaaS companies sell to individuals or tiny teams, so the person reading the post can make the buying decision.
Demonstrability helps even more. These products often produce something that looks good in a feed: a generated interface, a growth chart, a chatbot answer, a coding result, an analytics screenshot or a before-and-after comparison.
Finally, the founder usually participates personally. The recent cases we reviewed rely heavily on founder accounts, demonstrations, replies, customer conversations and repeated public activity. Generic company-account posting appears far less often.
When all of those conditions overlap, X can still be a remarkably efficient SaaS channel.
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GET THE FULL DATABASE → $49Which SaaS get customers from X now?
The SaaS companies getting the most convincing customer acquisition from X today are X tools, founder software, developer products, AI SaaS and creator tools.
The fresh evidence is strongest at the X-native end of the spectrum. SuperX reached a reported $23,000 MRR with X as its primary growth channel. Stanley for X launched to $4,000 MRR within 48 hours. SupaBird recently reported more than $2,000 from a 30-day period after growing mainly through organic distribution.
Outside that category, products such as ShipFast, SiteGPT and Ferndesk show that X can also work for SaaS serving developers and startup teams. Their customers already spend time discussing the problems those products solve, and one person can often make the purchase.
X becomes much less convincing once we move toward traditional SMB software, obscure vertical markets or enterprise products with long approval chains.
The platform itself has also changed. Direct links perform badly, referral traffic has fallen sharply and X reaches a much smaller share of the population than the largest social networks. Yet people still interact heavily inside the feed, and the platform remains unusually dense with founders, developers and AI people.
That changes how SaaS customer acquisition works there. The strongest companies show the product directly inside X, keep appearing around the same problem, build familiarity through a founder account and let customers arrive through profiles, DMs, searches, recommendations and trials.
For SaaS selling to people who live in those tech-heavy communities, X is still producing real customers now.
For everyone else, the evidence becomes much weaker very quickly.
OUR METHODOLOGY
This analysis asks which SaaS companies are actually getting customers from X now. We prioritized cases where founders or companies connected X to revenue, paying customers or a clearly described acquisition role. Signups, impressions, follower growth and viral posts were treated as supporting evidence, not as proof of customer acquisition on their own. Because the article deliberately searches for businesses where X is working, the examples should not be read as a representative sample of the average SaaS company.
We deliberately separated X-native products from broader SaaS. SuperX, Stanley for X, SupaBird, Typefully and Hypefury have unusually tight product-channel fit because their customers must already use X. They are strong evidence that X can convert, but weaker evidence for unrelated software categories. We therefore used ShipFast, SiteGPT and Ferndesk as the more informative tests of whether X can acquire customers beyond tools built for the platform itself.
Platform-level datasets were used to understand distribution mechanics, not to estimate SaaS conversion rates. Pew helps establish the size and demographic shape of the X audience; Buffer’s X-link study and 2026 engagement report show how native formats, links and Premium accounts perform; Chartbeat data reported by Nieman Lab gives context on the decline in publisher referral traffic; and Axios helps document X’s current concentration of AI researchers, builders and industry insiders.
We interpret weak external-link performance alongside continued native interaction as evidence that X can create demand without receiving clean last-click attribution. That is why the article distinguishes direct referral traffic from customer paths involving replies, profile visits, DMs, branded searches and later conversions. We do not treat those indirect paths as measurable X conversions unless a founder or company explicitly connects them back to the channel.
The buyer-fit labels and channel comparisons are qualitative, not conversion-rate benchmarks. They combine the strength of the observed SaaS cases with audience concentration, how easily the product can be demonstrated, whether one person can make the purchase, and how far the buyer is from a signed contract. The X, LinkedIn, Reddit and Hacker News comparison is therefore about different acquisition jobs rather than a universal ranking of the platforms.
Key sources used for this analysis include: Pew Research Center on U.S. social-media use, Buffer’s analysis of 18.8 million X posts and link performance, Buffer’s 2026 social-media engagement report, Nieman Lab on Chartbeat’s X referral-traffic data, Axios on X as the AI community’s live group chat, JetBrains’ 2025 Developer Ecosystem report, Stack Overflow’s 2025 AI developer survey, the SuperX founder case, the Stanley for X founder interview, the SupaBird founder case, Wilson Wilson’s Ferndesk acquisition update, his later Ferndesk $2,000 MRR post, Marc Lou’s account of ShipFast’s launch and first-month revenue, and the SiteGPT founder case.
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