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Deal AI – Deals, Funding, Acquisitions & Mergers in AI

  • Gamma AI – A Profitable AI Unicorn

    November 11th, 2025

    Today, we have a Unicorn among Unicorns -> Gamma AI

    Gamma AI is an AI Unicorn that is actually profitable. It has annual recurring revenues of over $100 Million a year. It just raised $68 Million at a $2.1 Billion valuation.

    Reference: Gamma (@GammaApp) / X

    Reference: Amy Saper on X: “Excited to share that @GammaApp has raised a $68M Series B at a $2.1B valuation, led by @sarahdingwang @a16z with participation from @uncorkcap! It’s been a privilege to have been part of the Gamma story since leading their seed round with $0 in revenue and a handful of users in” / X

    What is Gamma AI?

    Gamma.App/Gamma AI is an AI company that lets you create Business Presentations using AI. If you have 100 clients, it can generate 100 different presentations or reports – 1 for each, customized to each individual client.

    How Many Users does Gamma AI have?

    Supposedly, 70 million users.

    Interestingly, these 70 million users are not very active, as there are only 1 million ‘creations’ being done every day. Even if every user were doing just 1 creation a week, it should be 10 million creations a day.

    In fact, if we consider that you can create a massive number of AI presentations, then shouldn’t there be a lot more ‘creations’ than users?

    What is Gamma AI’s annual recurring revenue?

    $100 Million.

    That is very impressive.

    Perhaps most impressive is that Gamma AI is already profitable.

    Why a valuation of only $2.1 Billion?

    It’s a bit perplexing that in a world where profit-less AI companies are being valued at $50 billion to $500 billion, and where product-less AI startups are being valued at $10 billion, Gamma AI is only being valued at $2.1 billion.

    Would be interesting to find out why Gamma AI is not being valued at crazy valuations like other AI startups. Shouldn’t it be $100 billion valuation given it is already profitable and already has $100 Million Annual Recurring Revenues?

    Why is it being valued like a department chain when it is magic AI?

    What is the Gamma AI team like?

    One of my favorite features of the website was that they have a lot of details on their team -> Meet the team at Gamma (https://team.gamma.app/).

    The CEO looks like he works hard

    Most AI startup CEOs look like they just came back from a wellness retreat. Guess there is no stress in starting a company when you are getting valued at billions even before launching a product.

    Gamma’s CEO, on the other hand, looks like he had to work hard day and night to get to profitability. Perhaps the only AI startup CEO who doesn’t look like a scammer/used car salesman.

    Note: Most AI researchers look hardworking. I am talking about all the AI CEOs who look like they are trying to sell you a set of magical and revolutionary steak knives.

  • Open AI vs Anthropic – Path to Profits for OpenAI & Anthropic

    November 10th, 2025

    Some interesting details coming out on OpenAI & Anthropic’s Financial Projections.

    OpenAI Financial Projections + OpenAI Path to Profits

    1. OpenAI plans to break even and starting making profits in 2030
    2. OpenAI projects $74 billion in operating losses in 2028
    3. Open AI says it will reach $20 billion annual revenue run rate by Dec 2025
    4. Open AI is projecting
      • $20 billion annual revenue run rate by Dec 2025
      • $100 billion annual revenue run rate by 2028. $74 billion in losses. So expenses of $174 billion in 2028
      • $200 billion annual revenue run rate by 2030. Profitability in 2030.

    Makes me a bit suspicious when all the numbers are such nice round figures ($20 billion, $100 billion, $200 billion). Are these projections or just wishful thinking?

    Reference: https://the-decoder.com/openai-faces-questions-over-calls-for-government-support/#openai-ceo-sam-altman-expects-to-hit-%2420-billion-in-annual-revenue-by-year-end

    Anthropic Financial Projections + Anthropic Path to Profits

    1. Anthropic is seeing $7 billion a year in revenues as of 2025, projecting from Nov 2025 revenue rate
      • It expects that to grow to $9 billion annual revenue run rate by Dec 2025
    2. Anthropic expects total annual revenues to be
      • $4.7 billion in 2025
      • $15.2 billion in 2026. With an outside chance of hitting $26 billion
      • $38.9 billion in 2027. Anthropic is projecting Cash Flow Positive in 2027
      • $70 billion in 2028. Anthropic is projecting Profitability in 2028
    3. Anthropic is saying that Claude API is doing so well that it might become profitable by 2028
    4. Anthropic expects to be Cash Flow positive by 2027
    5. Anthropic sees its revenue growing to $70 billion in 2028
    6. Anthropic also sees 2008 as the year it breaks even and starts making profits
    7. Anthropic thinks Claude API business will be double of OpenAI’s API business by 2028

    Reference: https://www.wsj.com/tech/ai/openai-anthropic-profitability-e9f5bcd6

    Reference: https://the-decoder.com/anthropic-is-betting-on-an-audacious-leap-from-4-7-billion-to-70-billion-in-revenue-by-2028/

    OpenAI vs Anthropic – Why is Anthropic projecting it will reach profits in 2028 itself? 2 years before OpenAI

    Reference: https://www.theinformation.com/articles/anthropic-projects-cost-advantage-openai

    Reference: https://sherwood.news/tech/anthropics-move-to-diversify-from-nvidia-chips-may-give-it-an-edge-against/

    These are three of the reasons postulated

    1. Anthropic’s decision to not go All Nvidia like Open AI
      • Anthropic uses Google and Amazon chips, in addition to Nvidia chips
    2. Anthropic has fewer free users. Whereas OpenAI has 800 million weekly users on ChatGPT and most of them are non paying users
    3. Anthropic is generating 80% of its revenue from paid API access to Claude API
  • An AI Gathering of Black Swans

    November 8th, 2025

    We now face 5 AI and non AI Black Swans

    1. The AI Bubble reaching absolutely majestic proportions
      • OpenAI with $20 billion annual revenues, has made commitments of $1.4 Trillion over the next 8 years
      • Behind the scenes it is lobbying the US Government to backstop AI companies and AI infrastructure
      • There are, supposedly, 498 AI Unicorn Startups
      • There are, supposedly, a further 1,000 AI Startups valued at $100 million or more
      • OpenAI is being valued at $500 Billion
      • Anthropic is being valued at $350 Billion
      • Companies with NO PRODUCT are being valued in the billions of dollars
    2. The US Stock Market being pumped to truly horrific levels of exuberance
      • Does anyone really think an entire stock market propped by 7 to 10 large technology companies is sustainanble?
      • What if nearly all those 7 to 10 large technology companies are pumped up by the AI Bubble
      • Nearly the entire ‘Bubble’ in the US Stock Market is due to the AI Bubble
    3. UBS in mortal danger and threatening to take down a large number of critically important banks worldwide
      • Archegos bags went to Debit Suisse. Debit Suisse imploded and Archegos bags went to UBS. Now UBS is going to implode and pity on the bank that has to inherit Archegos bags from UBS
    4. Wars getting worse, not better
      • War in Ukraine, between Russia and Ukraine, continuing beyond anyone’s predicted dates
      • US doing all sorts of shenanigans in Venezuela
        • Yeah, it definitely has nothing to do with Oil
      • US is showing weakness and that is encouraging everyone and their mother to start conflicts. No more Team America World Police
    5. Trade Wars threatening to disrupt a world that had become more intertwined than ever
      • Can the economies of various countries actually survive a prolonged trade war? Of course not
      • The US of all countries starting a trade war is absurd. It is interconnected with every other country. The US Dollar is the world reserve currency
        • Starting a trade war and risking your status as the world’s reserve currency is Dumb & Dumber levels of stupidity

    That’s FIVE Black Swans. The first two of which are completely AI powered. Who says AI has no practical real world applications.

    Any one of these 5 Black Swans can take down the US economy and/or the Global Economy

    All 5 happening in the world at the same time is Final Destination level bad luck.

    To complicate matters, we also have some mini Black Swans on the Horizon

    5 Mini Black Swans

    1. Crypto getting pumped again. Worse – The possibility that the US President wants to kneecap all the Systemically Important Global Banks and the Petrodollar. Then shift to a Crypto US Dollar. That Crypto US Dollar would be backed by the might of the US Armed Forces
    2. Civil War in the US
      • Quite literally
      • If the internal conflicts in the US get worse, it would become a MASSIVE Black Swan
    3. China potentially taking Taiwan
      • The more there is Civil War in the US
      • The more the chance of a big crash in the US stock market
      • The more the time is ripe for China to swoop in and take Taiwan
        • A US that is divided internally. A US that is on the verge of a significant market crash. That is a US very ill equipped to protect Taiwan and to protect US interests in Taiwan
    4. BRICS becoming stronger and stronger
      • US with the Tariffs is incentivizing every non-US country to move away from the US dollar as the world’s reserve currency
      • This sets things up beautifully for BRICS to step in with a new world reserve currency
      • It is worth mentioning that, contrary to US propaganda, most BRICS countries are far less internally divided than the US
        • China and India in particular are surprisingly strong with very high approval ratings for their respective leaders
    5. The US and American companies putting massive amounts of investment into AI infrastructure
      • Everyone claiming – Even if AI is a Bubble that investment will pay off in some other way
      • Should consider – What if there is no other use for Nvidia AI chips?
      • They should also consider – What if the actual Next Big Technology requires some other type of investment?
        • And the big American companies don’t have enough money left, after their AI investments, to compete in that Actual Next Big Technology War
    6. OpenAI and Sam Altman
      • This dude single-handedly is causing so much reputational damage to the AI industry and to America’s status in AI

    We are living in truly interesting times.

    With 5 massive Black Swans converging, and another 6 Mini Black Swans hovering near the horizon, we are going to see some truly magnificent fireworks.

    The Decline and Fall of the American Empire might be close. The next 30 to 70 years are going to be a brutal and beautiful lesson in the Rise and Fall of Global Empires.

    Will the No Longer United States of America conjure a magic spell to strengthen its empire and extend its reign as Sole Superpower of the World for another 100 to 400 years?

    Or will another country or a union of countries become the new World Sole Super Power?

    Or will we go into a Hundred Years War where various groups such as The Great White Empire of America and Russia, China, India, The Middle Kingdoms, The Oil Sultanates, and the European Union all fight for supremacy?

  • AI just reached -> Privatization of Profits & Socialization of Losses Stage i.e. Bail Outs and/or Bail Ins

    November 8th, 2025

    What a strange world we live in. The great capitalists who were going to revolutionize the world and transform our lives now desparately need our tax dollars to survive.

    Reference: https://www.bloomberg.com/news/articles/2025-11-07/openai-asks-us-to-expand-chips-act-tax-credit-to-ai-data-centers

    Sam Altman of OpenAI was publicly claiming day before yesterday (Nov 6th, 2025) that OpenAI is not asking the US Government to backstop AI companies’ losses.

    Behind the scenes, as far back as Oct 27th, OpenAI was asking the Trump government to expand the 35% Chips Act tax credit to all AI infrastructure.

    A Comedy of Errors

    Who would have guessed that a company with $20 billion a year in revenues (OpenAI), and which has made commitments to spend $1.4 Trillion over the next 8 years, might need Government assistance?

    OpenAI is about to trigger an absolutely massive AI Bubble crash.

    It might take 6 months to 2.5 years before things fall apart.

    Why the delay? Because the US is desperate to not have its economy implode and will do everything it can to delay the inevitable. However, this is the triggering event, without a doubt.

    All the people who had doubts. All the people on the fence. All the people who thought AI seemed to be too good to be true. All the people who were suspicious of 22 year olds becoming billionaires (on paper).

    They all will think AI is the new big scam, not the new big revolution. Who knows – Perhaps it is both.

    Everyone now knows that this is a new breed of Entrepreneur – The Government-Preneur.

    Instead of Profits, the AI companies are looking for Government hand outs and Taxpayer Bailouts.

    These are companies built not on great products and great business models. These are companies built on Privatization of Profits and Socialization of Losses. Regulatory Capture. Government Backstops. Taxpayer Bailouts and Taxpayer Bailins.

    Marvels not of Engineering, but of Financial Engineering.

    Now we know why we were suddenly seeing so many articles claiming ‘Bubble are a holy cleansing fire’ and ‘Bubbles have benefits’ and ‘Bubbles lay the groundwork for the Next Generation of Great Companies’.

    Sadly, this is the day that AI’s reputation got destroyed. The industry is looking for Bailouts and Taxpayer money even before it has started kindergarten. Amazing. Simply Amazing.

  • Is the AI Wildfire coming? Will it be incredibly healthy?

    November 7th, 2025

    Reference: The AI Wildfire Is Coming. It’s Going to be Very Painful and Incredibly Healthy.

    URL Link: https://ceodinner.substack.com/p/the-ai-wildfire-is-coming-its-going

    This is a beautifully written article. Beautifully written does not mean accurate.

    We are at the stage of the AI Bubble where everyone and their mother is admitting it is a Bubble. This creates a very problematic situation for the ‘True Believers’.

    Let’s say you’ve spent the last 4 years pumping up an AI Bubble, and it’s grown way bigger than you had anticipated. You, finally, realize things are completely out of hand.

    How do you now distance yourself from this massive AI Bubble? How do you minimize the collateral damage to your reputation when the AI Bubble collapses?

    Well, one way is to have people write beautiful articles about ‘The Benefits of Bubbles’ or ‘The Silver Lining to an AI Bubble Collapse’. You can even write them yourselves if you are running out of Spin Doctors.

    This article (The AI Wildfire is Coming. It’s Going to be very painful and incredibly Healthy) is a great example of Spin

    First, you acknowledge there is an AI Bubble and that it is going to burst.

    Second, you immediately launch a claim that it is a very good thing that we had an AI Bubble and that the Bubble bursting is somehow a great thing and ‘incredibly healthy’.

    Let’s look at the article in Depth. We will see some beautiful writing and some very interesting ‘reframing’ to make the AI Bubble seem a beautiful thing.

    The Fire Season

    The article claims that the AI Bubble is not a ‘bubble’ but a cleansing wildfire. This is beautiful imagery.

    Instead of admitting that VCs and Tech CEOs created an AI Bubble and wrangled a lot of money out of a lot of people.

    Just claim that it is a holy cleansing fire and that it will create the conditions for ‘the next generation of forest to thrive’.

    Amusing that VCs and Tech Founders assume the rest of the world are dumb enough to believe that creating an AI Bubble and generating undeserved fortunes for the VCs and Tech CEOs is somehow a ‘cleansing fire’.

    There has been a transfer of money from naive people to the people pushing the AI Bubble. Nothing ‘cleansing’ about that other than the cleansing of wallets of sheep.

    Comparisons to 1999 and 2008

    The article compares 2025 AI Bubble to the Crashes of 1999 and 2008

    Firstly, 1999 burned through not just dot com exuberance, it also burned through a lot of naive people’s life savings.

    The survivors (Google, Amazon, eBay, Paypal) are hardly the standard for what a good, productive company should be. Unless you measure a company purely by profits and don’t factor in the effect on people and society.

    Secondly, claiming 2008 was somehow related to social and mobile companies is absurd. 2008 was all about Wall Street’s bad bets. Bad Bets which have still not been closed out. That’s why we still have Tesla in a permanent short squeeze and many of the 2008 Swaps still being rolled and kicked down the road.

    The survivors of 2008 (Facebook, Uber, AirBnbn, offspring of YCombinator) are an even worse example of what companies should be. Especially in terms of affect on society.

    What does it say when most countries around the world are banning social media for children and teenagers under 15. The article seems detached from the reality that every day people who are sick and tired of companies like Facebook/Meta.

    Wrongly claiming the Wall Street Crisis of 2008 was somehow a technology related cleansing wildfire is hilarious.

    Equally amusing is claiming that this ‘cleansing wildfire’ of 2028 was somehow ‘worth it’ because it gave us abominations such as Facebook/Meta and Uber.

    The Overgrown Forest

    This is actually a well written section that also manages to be accurate. Agree with all of this. Except the last claim that in this kind of forest a fire is a correction.

    In this kind of forest, a fire will burn through all the money invested.

    It would also lead to a 20% to 50% US stock market crash. That would wipe out many non AI companies. That would wipe out 50% to 100% of many investors’ portfolios.

    That is not a correction. That would be the biggest crash since 1929 and lead to an absolutely terrible Depression. One that might match or even exceed The Great Depression.

    The Flammable Brush

    The author refers to startups that will not survive the crash of an AI Bubble as ‘flammable brush’.

    When the flammable brush burns it does not release resources back into the soil for harder species to absorb, as the article claims. The capital is all gone.

    Furthermore, there will be very few companies that survive. The vast majority of ‘AI engineers’ will not have new jobs. At most 15% or 20% of AI talent from failed companies will find new jobs. The rest will have to find jobs outside of AI.

    The Fire Retardant Giants

    At this point, they are just trying to push the Forest Fire analogy too far.

    Reality is

    1. Because their stock price has been pushed so far
    2. Because they have made such large investments into AI infrastructure
    3. Because they are propping up the US stock market

    None of the large tech companies (Apple, Microsoft, Nvidia, Google, Amazon) can afford the AI Bubble bursting

    1. Firstly, stock price falls will greatly affect these companies’ reputation with investors
    2. Secondly, their large investments in AI infrastructure will be undone
      • Let’s not forget the opportunity cost of investing hundreds of billions of dollars into AI infrastructure when no ‘Killer App’ for AI exists (yet)
      • We also don’t know whether -> When/If there is finally a ‘Killer App’ for AI, it will use the same generations of AI Chips that these companies are currently buying
      • The Killer App of AI just needs to be a few years in the future and all the current AI chips will be too ancient to work with it
    3. Thirdly, if these large tech companies crash, the US stock market will see a massive crash
      • That in turn will greatly affect US consumers and US companies.
      • It will burn companies and consumers around the whole world
      • The customer base for the large US tech companies will be severely impacted as they will have far less disposable income

    There is no such thing as ‘Fire Retardant Giants’ when Open AI with $20 billion a year in revenue has promised $1.4 trillion over the next 8 years.

    These large tech companies have made a very big bet that OpenAI and Anthropic and other AI startups will succeed to an absurd extent.

    They have made an even bigger bet that AI will become the center of the Universe.

    The Large Tech Companies might not die out. However, they will lose 5 to 10 years worth of opportunity cost in terms of lost resources and lost time if AI does not become The Next Big Technological Revolution.

    The Resprouters

    Will some AI companies grow back after dying?

    Yes, it is conceivable. The ones that have raised billions and are not burning through these billions might.

    The failure is not wasted. Only for the survivors.

    The Fire Followers

    This might be the only fully accurate part of this beautifully written Spin masterpiece.

    Once the AI Bubble bursts, we would have very interesting conditions

    1. The large tech companies would have to deal with lost opportunity cost, lost money, lost time
      • It would take them time to re-focus on real markets
      • In addition to the 5 to 10 years lost by throwing everything at AI
      • They might lose another 2 to 5 years chasing the actual big new areas
        • With the added cost that they might not be able to catch up, ever
    2. The AI big guns would be either wiped out, or in severe withdrawal
    3. Most of the AI startups would be wiped out
      • A few would be in survival mode
      • The rest would be pivoting to non AI uses
    4. Almost everyone who is fully focused on AI would need years or decades to build another business, whether in AI or not

    That means that founders who start after the crash, and companies that never focused on AI and were instead focused on non Bubble industries, would have massive advantages over the current AI acolytes and the current AI faithful.

    Claiming 2008 was about Silicon Valley is just absurd

    This is a beautifully written article.

    Not sure why we need spin doctors to defend the AI companies and the large tech companies who went all-in on AI to boost their market caps and their personal fortunes

    Still, the article is almost a Spin masterpiece.

    One of the main things that holds it back is -> Taking The Great Financial Crisis and somehow claiming it had to do with Silicon Valley. That is just absurd. That was a Wall Street crisis and did not have any strong connections to the 1999 Dot Com crash and does not have any strong connections to the the current AI Bubble.

  • Meta/Facebook sued in California Federal court by Owner of Entrepreneur Magazine

    November 7th, 2025

    You mean to tell me all the content on the Internet is not just available for free for AI Companies?

    Apparently not.

    Entreprenuer Magazine is suing Facebook/Meta for copying Entrepeneur Magazine’s strategy books, professional development guides, etc. to train Meta’s artificial intelligence systems.

    It is rather interesting that you can do all this illegal stuff against Governments (Uber, AirBnB) and have relatively low costs. Governments move so slowly and can be bribed so easily.

    Start doing it to other businesses, and those businesses are generally in no mood to give you a free ride.

    It’s going to be super interesting to see what happens with all these cases. Google got so big so fast, and newspapers were so slow moving, that nothing much could happen there.

    With AI companies, it is a bit different. Content creators and Businesses have a chance to do something of significance.

    Reference (Reuters) -> https://www.reuters.com/legal/litigation/entrepreneur-magazine-publisher-sues-meta-over-ai-training-2025-11-06/

    Retail Touch Points also has a good article on this -> https://www.retailtouchpoints.com/features/executive-viewpoints/training-without-consent-is-risky-business-what-business-owners-need-to-know-about-the-proposed-ai-accountability-and-data-protection-act

    Actually, a beautiful article. An absolute must read with real depth. Linking again -> Retail Touch Points Articles on AI Copyright Litigation.

  • OpenAI’s Sam Altman confirms that OpenAI Annual Revenue will be $20 Billion a year by End 2025

    November 6th, 2025

    That’s it. That’s the post

    Reference 1 -> https://x.com/sama/status/1986514377470845007

    Reference 2 -> https://the-decoder.com/openai-ceo-sam-altman-expects-to-hit-20-billion-in-annual-revenue-by-year-end/

  • OpenAI Chairman’s Customer Experience AI startup Sierra valued at $10 Billion + Crosses $100 Million in Annualized Recurring Revenue

    November 5th, 2025

    Richard Nieva at Forbes (Paywall) profiles Sierra, an AI powered customer experience startup from Bret Tayler (OpenAI Chairman) and Clay Bavor -> Inside OpenAI Chairman’s $10 Billion AI Customer Service Startup Sierra

    Richard Nieva on Twitter -> Richard Nieva on X: “New: I profiled Sierra, the $10B AI customer service startup from Bret Taylor and Clay Bavor, which wants to make AI agents the primary way businesses interact with customers. For the piece, I talked to their old bosses, Mark Zuckerberg and Sundar Pichai https://t.co/tDZUFyXQz6” / X

    That is actually really interesting -> Talking to Zuckerberg and Pichai to get better insight on the co-founders of Sierra.

    Details on Sierra

    1. Sierra’s Who We Are Page -> About Sierra | Sierra
    2. Sierra’s customers include – Clear, Casper, Minted, ADP, Wilson, Sonos, Ramp, Tubi, CDW, Sirius XM, AOL, Weight Watchers, and Thrive Market

    Customer Experience vs Customer Service

    Find it really interesting that Sierra are pushing ‘Customer Experiences’ as what they help build i.e.

    Sierra helps businesses build better, more human customer experiences with AI.

    What they are building are Customer Service Agents that mirror the nuances of human behavior and deliver near human customer service.

    Yeah, we could certainly use AI customer service much better than what current exists. At the moment AI customer service means endless frustration and then eventually figuring out how to get a real human.

  • OpenAI hits 1 million business customers + OpenAI claims to be the fastest growing business platform in history

    November 5th, 2025

    Reference: 1 million business customers: the fastest-growing business platform in history | OpenAI

    Data Points from OpenAI’s post on reaching 1 million business customers

    1. 1 million business customers
      • Includes all businesses that actively pay OpenAI for business use through ChatGPT for Work, or through direct consumption of OpenAI’s models through OpenAI’s developer platform
    2. Consumer Clients (not business customers) has reached 800 million weekly users
    3. New Tools and Capabilities and Integrations for Businesses
      • Company Knowledge – ChatGPT can reason across Slack, SharePoint, GitHub, etc
      • Adoption for Codex – usage up 10X since August
    4. Recent Wharton Study claims 75% of enterprises deploying AI are reporting a positive ROI, with only 5% reporting negative ROI
    5. Apps
      • Canva, Figma, Zillow building Apps directly in ChatGPT
      • Shopify, Etsy, Walmart building new shopping experiences through the Agentic Commerce Protocol (ACP) in ChatGPT

    Thoughts on OpenAI’s data points and claims

    1. 1 million business customers is impressive
    2. The claim of fastest growing business platform in history is rather dubious. OpenAI has been around since 2015 and ChatGPT has been around for years. Claiming business platform ‘growth’ since it was launched ‘for businesses’ is an inaccurate claim
    3. Looking forward to seeing Apps built specifically for business customers

    This is certainly an impressive update by OpenAI.

  • Where are the AI powered Dating Startups?

    November 5th, 2025

    In all the AI Funding news, I’ve not seen any AI Dating companies getting mentioned.

    Dating is a cluster-@#$$ right now. No one is happy. It’s not working for the vast majority of people.

    The youngest generation is simply giving up and quitting on dating entirely. Even Millenials are crying about the lack of clubs and bars because online dating is beyond miserable.

    There should be a ton of Dating startups getting funded.

    Match.com is ripe for the picking. They are so bad at connecting people that people would rather go out to bars and spend $20 a drink. Next time you are out at a bar and see how bad the bar scene is, consider this –

    Match.com’s 500 different dating apps are so inefficient and corrupted that people would rather go out to bars.

    Is there any other technology area that is so inefficient and disappointing?

    Heck, Match.com is so bad that Facebook dating is making a comeback.

    There really should be an army of Dating startups using AI and Agentic Matchmaking to take on the bloated monopoly of Match.com’s 500 milquetoast dating apps.

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