Real numbers behind the companies, so hype can't outrun the record. Every claim is frozen at the date it was made — a 2008 pitch deck's projections are 2008 claims, however late we read them — then graded only against evidence from AFTER it was said. A missed projection is measured, not moralized: the ledger records how far off and how late, because wrong is not dishonest.
We graded the famous decks the projections everyone remembers, judged against what actually happened
The same pipeline grades every deck submitted today — founders get their claims frozen and tracked on the record they can point to; investors get the numbers with the hype stripped out. Score your deck · Browse the scored index
The record confirms it stated raises verified against the funding record — the positive pathway
Each one cross-checked against the rounds record before it earned the label — the same skeptical pass the investor lens applies to every number on a company page. Saying it and then doing it is what builds a track record here.
Graded projections the DELTA ledger — projection vs what actually happened
“Airbnb projected $200 million in revenue from 2008-2011 based on 10.6 million trips at $20 average commission.”
Airbnb’s own Jan-26-2012 announcement: 5 million cumulative guest nights booked (4M in the trailing 12 months). Even granting every night as a trip, cumulative trips through the 2011-12-31 target were ≤5M vs the projected 10.6M (≥53% miss), implying ≤$100M commission revenue vs $200M projected. Realistic nights-per-trip puts the miss far deeper. The adoption curve arrived anyway — 10M cumulative nights by June 2012, five months past the target.
“Uber's best-case scenario projected becoming market leader with $1B+ in yearly revenue per year profit.”
Uber’s S-1 (Apr 2019): yearly revenue crossed $1B during 2015 ($495.3M in 2014 → $3.845B in 2016) and Uber became the largest ridesharing platform — the revenue and market-leadership components of the 2008 best case came true, roughly seven years out. The profit component did not: never a profitable year at filing, $3.0B operating loss in 2018.
“Buffer projected 100,000 users and $288K revenue by January 2012.”
No qualifying outcome was adjudicated by the claim's horizon (target date + 180d grace). Re-adjudication stays open if evidence surfaces.
“Buffer projected reaching 100,000 users and $288,000 revenue by January 2012.”
No qualifying outcome was adjudicated by the claim's horizon (target date + 180d grace). Re-adjudication stays open if evidence surfaces.
“Buffer projected 1 million users and $3.6M revenue by January 2013.”
No qualifying outcome was adjudicated by the claim's horizon (target date + 180d grace). Re-adjudication stays open if evidence surfaces.
“Buffer projected reaching 1 million users and $3.6 million revenue by January 2013.”
Buffer’s own Sep-2013 publication: $1m annual revenue reached January 2013 (projected $3.6m, −72% at the target date) and 1,000,000 users reached September 2013 (8 months after the projected January 2013). Both numbers were eventually reached — later and slower than projected.
“Buffer launched its web app in January 2011 and had 55,000 users and $150K revenue by October 2011.”
No qualifying outcome was adjudicated by the claim's horizon (target date + 180d grace). Re-adjudication stays open if evidence surfaces.
“Intercom targets SaaS providers, a market worth $21 billion at the time and projected to reach $93 billion by 2016 according to Forrester.”
No qualifying outcome was adjudicated by the claim's horizon (target date + 180d grace). Re-adjudication stays open if evidence surfaces.
“Kickstarter will not have a liquidity event (IPO or acquisition) for at least 20 years.”
Kickstarter has remained a privately held company with no IPO or acquisition up to 2026, but the 20‑year horizon (till 2032) has not yet passed, so the claim cannot yet be fully confirmed or refuted.
“WeWork's membership is growing rapidly, with top-line growth accelerating due to a robust pipeline and rising per-member revenue.”
WeWork’s S-1 (Aug 2019): revenue roughly doubled each year 2016–2018 ($436.1M → $886.0M → $1.82B) and memberships nearly doubled through mid-2019 (260K → 503K) — the growth trajectory the 2014 deck described held for five years. Losses scaled alongside; the IPO withdrawal and later collapse post-date this claim and do not retroactively falsify a 2014 growth statement.
“Front projected headcount of 39 in 2016 and 53 in 2017.”
No qualifying outcome was adjudicated by the claim's horizon (target date + 180d grace). Re-adjudication stays open if evidence surfaces.
“Front projected ARR of $3m in 2016 and $10m in 2017.”
Collin (fireside published Sep 2018): $1M→$10M ARR took two years. Anchored to the deck’s own $1.4m ARR at Apr 2016 and 5.4x trailing growth ($1m crossed ~Q4 2015/Q1 2016), the $10m crossing lands ~Q4 2017–H1 2018 — the end-2017 target was met on time or within roughly a quarter. Exact at-date ARR is not public (the company redacted deck figures), so SUPPORTED rather than VERIFIED.
“Front projects positive operating margin by end of 2019 and 'default alive' profitability in 10 months assuming no hiring and 5% monthly growth.”
No qualifying outcome was adjudicated by the claim's horizon (target date + 180d grace). Re-adjudication stays open if evidence surfaces.
“Treehouse will have 500,000 apprentices in its Talent Path program within 10 years.”
Treehouse's Talent Path program never came close to 500,000 apprentices; the program remained small and Treehouse faced financial difficulties and restructuring in subsequent years. [basis: model_knowledge, confidence: 0.85]
“Disney+ will surpass Netflix in subscriber count within 10 years.”
By the July 2022 deadline, Netflix had roughly 220 million subscribers while Disney+ had around 152 million, so Disney+ had not surpassed Netflix. [basis: model_knowledge, confidence: 0.95]
“Nikola will reach a valuation of $500 billion to $1 trillion in 10-15 years.”
Nikola's market capitalization never approached $500 billion; by the January 2023 deadline it was valued at well under $5 billion, and founder Trevor Milton had been convicted of fraud in October 2022. [basis: model_knowledge, confidence: 0.98]
“The release of Apple's mixed reality headset will result in a net 15% lift in iPhone sales.”
Apple's mixed reality headset (Vision Pro) was not released until February 2024, well after the January 2023 deadline, and there is no evidence of any net 15% lift in iPhone sales attributable to it. [basis: both, confidence: 0.90]
“It will take 10.5 years (until mid-2032) for Apple's headset/glasses to be able to fully replace the iPhone.”
As of 2026, Apple’s headset/glasses have not fully replaced the iPhone, and the predicted mid‑2032 milestone has not yet been reached.
“SpaceX will launch point-to-point Earth travel service within 5-10 years”
SpaceX has not yet launched a point‑to‑point Earth travel service as of 2026, though it continues to develop the Starship vehicle and related infrastructure.
“Uber will be worth 5 to 10 times its current valuation in 10 years.”
By the February 2024 deadline, Uber's market cap had risen from roughly $45B (Aug 2022) to approximately $140-150B, about a 3x increase — well short of the predicted 5-10x. [basis: both, confidence: 0.85]
“Lyft will be worth 5 to 10 times its current valuation in 10 years.”
By the February 2024 deadline, Lyft's market cap had declined from roughly $13-15B (August 2022) to approximately $5B, falling far short of a 5-10x increase. [basis: both, confidence: 0.90]
“Airbnb will be worth 5 to 10 times its current valuation in 10 years.”
By the February 2024 deadline, Airbnb's market capitalization was roughly $85-100B, only about 1.2-1.3x its ~$75B valuation in August 2022, nowhere near the 5-10x predicted. [basis: model_knowledge, confidence: 0.90]
“DoorDash will be worth 5 to 10 times its current valuation in 10 years.”
The 10‑year timeframe (to 2032) has not yet passed, so the prediction cannot yet be evaluated.
“Mango will reach $10 million in net revenue by 2025.”
The target 'Mango' is not in the tracked catalog and no reliable public financial data is available to confirm whether this specific company reached $10 million in net revenue by 2025. [basis: model_knowledge, confidence: 0.85]
Grading compares the actual AT the projection's target date — overshooting a 2012 target in 2013 is not a hit, and a number reached late is recorded with its lag. “Achieved eventually” appears in the delta wherever the curve arrived after the deadline.
The historical ledger claims frozen from era documents — the corpus that lets grading be tested against known history
| Said | Company | Type | Claim | State |
|---|---|---|---|---|
| 2004-08-01 | assertion | LinkedIn had 50+ Groups live with 20+ new Groups launching per month and 300+ Groups in the pipeline, including major professional organizations and alumni groups. | Unresolved | |
| 2004-08-01 | assertion | LinkedIn had 930K+ white-collar registered users with 29K+ weekly user growth rate and 23M+ unique email addresses uploaded as of August 2004. | Unresolved | |
| 2004-08-01 | assertion | LinkedIn had a two-year exclusive agreement with DirectEmployers Association (fourth-largest job database online) and was at contract stage with American Express OPEN for exposure to 2 million small business cardholders. | Unresolved | |
| 2004-08-01 | assertion | LinkedIn held 73% of registered users among online professional network tools as of August 2004, up from 54% six months prior, with total market at 1.2 million users. | Unresolved | |
| 2004-08-01 | assertion | LinkedIn had 1M+ user searches per month, 20M+ total member page views per month, and 20% of old users logging in per month. | Unresolved | |
| 2004-08-01 | assertion | 22% of LinkedIn users are CxOs or senior executives, spanning 100+ countries and 130+ industries. | Unresolved | |
| 2004-08-01 | assertion | LinkedIn achieved its large user base and market position having spent less than $4 million. | Unresolved | |
| 2004-08-01 | assertion | LinkedIn's premium services revenue model includes three components: targeted contextual text ads, job listings filtered through each professional's network, and subscription services extending the reach of each professional's network. | Unresolved | |
| 2005-08-01 | YouTube | assertion | YouTube's video encoding back-end converts uploaded videos to Flash Video. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube closed a Series A round of $3.5M in November 2005. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube's team included Steve Chen, Chad Hurley, and Jawed Karim, all with PayPal backgrounds. | Unresolved |
| 2005-08-01 | YouTube | projection | YouTube plans to generate revenue through advertising, acting as a for-pay distribution channel for promotional videos, charging members for premium features, and charging viewers for premium content. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube launched on June 11 and had already overtaken all previously existing competitors as of August 2005. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube's founding team includes Steve Chen, Chad Hurley, and Jawed Karim, who have backgrounds at PayPal and Stanford/University of Illinois. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube's purpose is to become the primary outlet of user-generated video content on the Internet and to allow anyone to upload, share, and browse this content. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube's stated purpose was to become the primary outlet of user-generated video content on the Internet. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube's back-end converted uploaded videos to Flash Video. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube has overtaken all previously existing competitors and is now the dominant player in the space. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube listed OurMedia.org, Open Media Network, Google Video, PutFile, DailyMotion, and Vimeo as competitors. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube launched on June 11th and has already overtaken all previously existing competitors, becoming the dominant player in its space. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube allowed consumers to upload videos and served the content to viewers. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube allows consumers to upload videos and serves the content to millions of viewers. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube identified cheap digital video recording technology and critical mass of home broadband as enabling market conditions. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube's video encoding back-end converts uploaded videos to Flash Video. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube's purpose is to become the primary outlet of user-generated video content on the Internet and to allow anyone to upload, share, and browse this content. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube launched on June 11th. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube closed a $3.5 million Series A funding round in November 2005. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube allows consumers to upload videos and takes care of serving the content to millions of viewers. | Unresolved |
| 2005-08-01 | YouTube | projection | YouTube plans to generate revenue through advertising, acting as a for-pay distribution channel for promotional videos, charging members for premium features, and charging viewers for premium content. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube's product development focuses on community, open architecture, targeting vertical markets with a need for video content, and features currently in development. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube provides a community that connects users to videos, users to users, and videos to videos. | Unresolved |
| 2005-08-01 | YouTube | assertion | YouTube provides a community that connects users to videos, users to users, and videos to videos. | Unresolved |
| 2008-10-01 | Airbnb | assertion | Airbnb takes a 10% commission on each transaction, with an average fee of $70/night at 3 nights. | Unresolved |
| 2008-10-01 | Airbnb | assertion | Airbnb claimed competitive advantages including being first to market, host incentives, listing once, ease of use, profiles, and design and brand. | Unresolved |
| 2008-10-01 | Airbnb | assertion | Airbnb's total available market is 532 million budget and online trips, with a serviceable available market of 10.6 million trips. | Unresolved |
| 2008-10-01 | Airbnb | assertion | Airbnb is a web platform where users can rent out their space to host travelers, allowing travelers to save money, hosts to make money, and sharing local culture. | Unresolved |
| 2008-10-01 | Airbnb | assertion | Airbnb cited 630,000 users on couchsurfing.com and 17,000 temporary housing listings on SF & NYC Craigslist as market validation. | Unresolved |
| 2008-10-01 | Airbnb | projection | Airbnb planned to target events and partnerships, including a Craigslist dual posting feature with a listing widget. | Unresolved |
| 2008-10-01 | Airbnb | projection | Airbnb projected $200 million in revenue from 2008-2011 based on 10.6 million trips at $20 average commission. | Contradicted |
| 2008-12-01 | Uber | assertion | By January, Uber had formed a California LLC, filed a trademark, set up a bank account and PayPal account, and by March had 5 advisors and 15 clients. | Unresolved |
| 2008-12-01 | Uber | projection | Uber's best-case scenario projected becoming market leader with $1B+ in yearly revenue per year profit. | Partially supported |
| 2008-12-01 | Uber | assertion | Uber's go-to-market plan relied on referral virality through invite-only membership from existing members to become the ubiquitous premium cab service. | Unresolved |
| 2008-12-01 | Uber | assertion | Uber planned to automate dispatch to reduce wait-time using geo-aware auto-dispatch technology. | Unresolved |
| 2008-12-01 | Uber | assertion | Clients had to be members to use the service, and cars were hailed from a phone rather than from the street. | Unresolved |
| 2008-12-01 | Uber | assertion | Uber's technology included mobile phones with intelligent scheduling, payment/utilization, reputation tracking, and a patent-pending system design. | Unresolved |
| 2008-12-01 | Uber | projection | Uber's realistic success scenario projected capturing 5% of the top 5 US cities and generating 20-30M+ clients per year. | Unresolved |
| 2008-12-01 | Uber | assertion | Uber's concept was a fast and efficient on-demand car service called UberCab using the latest consumer web and device technology. | Unresolved |
| 2010-06-04 | Edgecast | prediction | CDN companies like Akamai, Limelight, and Edgecast will be acquired by telecom companies. | Partially supported |
| 2010-06-04 | prediction | Google's market valuation will surpass Apple's market valuation. | Contradicted | |
| 2010-06-04 | Nintendo | prediction | Nintendo's DS business will be negatively affected by Apple's iPhone and iPod touch, and its Wii business will be encroached upon by the iPad. | Contradicted |
| 2010-06-04 | Sonos | prediction | Sonos will likely go public. | Verified |
| 2010-06-04 | prediction | Google will make their online spreadsheets and documents free. | Verified | |
| 2010-06-04 | Apple | prediction | if Apple sells you know eight to ten million by the end of this year as I think uh you know analysts are now predicting they'll be you know they'll be well on their way um to building a Competitive Gaming platform | Unresolved |
| 2010-06-05 | Apple | prediction | if Apple made iTunes online with everything um then you wouldn't necessarily need to store um your media on your own device but this is the public private thing like you're saying is do we trust somebody else to keep our music collection for us or do we want our own copy of I think that would be really really big | Unresolved |
| 2010-06-05 | prediction | the major companies will deliver and you'll we'll be able to deliver media on Google or Microsoft or maybe a variety of other applications or infrastructures that are required | Unresolved | |
| 2010-06-05 | Microsoft | prediction | I actually think Microsoft has got to leg up to be completely fair... I actually say Advantage Microsoft on this one. | Unresolved |
| 2010-06-05 | prediction | we've got a lot of machines at Google we we want we want a lot of machines to be out there | Unresolved | |
| 2010-06-05 | prediction | I don't see um government employees as a whole uh moving from their Microsoft office desktop app and experience to, you know, Google in um in massive force in order to unseat Microsoft. | Unresolved | |
| 2010-06-07 | prediction | I definitely think Google Buzz is on the right track | Unresolved | |
| 2010-06-08 | prediction | Bill girly made a you know basically famous venture capital guy he wrote a blog post that was really was probably blog post my opinion about how he believes the Android the android-based devices will just destroy the iphone over the next five years and that'll be like an eighty-five percent market share capture much like the pc did in the early days of the pcs versus the mac | Unresolved | |
| 2010-06-17 | Backupify | prediction | Backupify will reach approximately 250,000 users by the end of 2010. | Contradicted |
| 2010-06-17 | Amazon | prediction | the only way you're gonna disrupt them over the long term is um you know if you can find uh some way to lower the infrastructure costs like um like like if this compression technology works and you could do some sort of uh virtualization peer-to-peer thing right where you take all the latent piece deep processing power that's sitting around and you make that appear like any c2 machine somehow like i but that that sounds like really really really hard technology to me | Unresolved |
| 2010-06-17 | prediction | i think most of the future launches you're going to see are going to be targeted towards um you know smes and small medium enterprises and and people like that because uh they have a lot more data needs and and i think i think i think we're a better match for for where they are they're also the kinds of people that are moving to sas a lot faster than large enterprises who still have a lot of stuff behind the firewall | Unresolved | |
| 2010-06-18 | Apple | prediction | I think eventually on the web will see a lot more kind of quasi tactile ways of interacting with websites that are reminiscent of how you would do it on ipad or iphone | Unresolved |
| 2010-06-18 | Apple | prediction | sales of the iPad will not be able to keep up their current momentum now that all the dedicated Apple fanboys and fangirls out there have picked up their devices ... it's not clear that the general public sees the need for a third computing device ... word of mouth about the ipad is not in the top tier of its category ... predicting with the 6.5 million I she's predicting 6.5 million iPads will sell in the first year | Unresolved |
| 2010-06-19 | prediction | we want to be poised and ready because we know that that's going to have a larger user base at some point | Unresolved | |
| 2010-06-19 | Apple | prediction | I picture they speed that up to try to get you know developers their money quicker | Unresolved |
| 2010-06-24 | Apple | prediction | I think long run HTML 5 is going to win it's going to be really yeah yeah and you know Android's really really taking off | Unresolved |
| 2010-06-24 | Apple | prediction | I wrote a blog post called app is crap yeah and uh my so self my uh hypothesis was that apps are here to stay for the next three to five years but it's a long-term bad metaphor | Unresolved |
| 2010-06-29 | Apple | prediction | Most serious business people will not use an iPhone. | Contradicted |
| 2010-06-29 | Blackberry | prediction | Most serious business people will continue to use a Blackberry instead of an iPhone. | Contradicted |
| 2010-06-29 | Bitly | prediction | Bitly will be acquired by Google, Yahoo, or Microsoft within 12 months. | Contradicted |
| 2010-06-29 | prediction | Twitter will experience a vicious cycle of users transitioning out of the system, similar to what MySpace experienced. | Contradicted | |
| 2010-06-29 | ChaCha | prediction | ChaCha will go out of business. | Verified |
| 2010-06-29 | prediction | You could have released more often, but it may not have changed the inevitability of Google drinking your milkshake. | Unresolved | |
| 2010-06-29 | Paypal | prediction | what if you could email money you now that sounds like a killer app | Unresolved |
| 2010-06-29 | prediction | Twitter's going to go through it and there's going to be other contenders | Unresolved | |
| 2010-06-29 | prediction | I think long term Twitter might be the bigger play | Unresolved | |
| 2010-07-02 | Hulu | prediction | The Hulu Plus model of requiring an additional console-specific subscription (Xbox Live Gold or PlayStation Plus) on top of its own $9.99 subscription will fail. | Contradicted |
| 2010-07-02 | Microsoft | prediction | I think these subscription plans on top of subscription plans are just ridiculous not going to work | Unresolved |
Latest claims the live end of the ledger
| Said | Company | Type | Claim | State |
|---|---|---|---|---|
| 2026-10-14 | Unknown | prediction | So they'll never beat an Nvidia machine. They'll never beat a million Nvidia machines. | Unresolved |
| 2026-10-14 | Clueso | assertion | Clueso's funding was a Series A round. | Unresolved |
| 2026-10-14 | Clueso | assertion | Clueso raised $10 million in funding. | Verified |
| 2026-10-14 | Clueso | projection | Clueso is described as a business video automation startup that aims to end manual production processes. | Unresolved |
| 2026-10-14 | Clueso | assertion | The funding was announced on October 13, 2026. | Unresolved |
| 2026-10-12 | Supabase | prediction | GitHub stars will exceed 150000 within 90 days. | Unresolved |
| 2026-10-12 | OpenAI | prediction | From my perspective, we don't really need this deep understanding of what's going on in order to see that we shouldn't make them smarter than all of us and have them run the whole world. | Unresolved |
| 2026-10-12 | Unknown | prediction | If there's a thousand times more efficient transformer, that's bad for NVIDIA. | Verified |
| 2026-10-12 | Unknown | prediction | I mentioned photonic computing before, because I do think in 20 years, these H100s are in the scrap heap. | Verified |
| 2026-10-12 | Unknown | prediction | there's a couple startups like Neurofos, OptiCore, Lumai, that want to make these photonic mat mole cores, which would run circles around what NVIDIA does. | Verified |
| 2026-10-12 | Unknown | prediction | So the other algorithms that quantum could do are not much faster. So they'll never beat an NVIDIA machine. They'll never beat a million NVIDIA machines. | Unresolved |
| 2026-10-12 | OpenAI | prediction | I think that you're going to have AI starting businesses. And that's, I think, part of his plan is to have within, you know, OpenAI, OpenAI Pharma, OpenAI Motors, OpenAI Aviation, OpenAI, et cetera. | Verified |
| 2026-10-12 | Nvidia | prediction | So they'll never beat an Nvidia machine. They'll never beat a million Nvidia machines. | Unresolved |
| 2026-10-12 | Nvidia | prediction | I mentioned photonic computing before, because I do think in 20 years, these H100s are in the scrap heap. | Unresolved |
| 2026-10-12 | Nvidia | prediction | If there's a thousand times more efficient transformer, that's bad for NVIDIA. | Unresolved |
| 2026-10-12 | Nvidia | prediction | So the other algorithms that quantum could do are not much faster. So they'll never beat an NVIDIA machine. They'll never beat a million NVIDIA machines. | Unresolved |
| 2026-10-12 | Nvidia | prediction | there's a couple startups like Neurofos, OptiCore, Lumai, that want to make these photonic mat mole cores, which would run circles around what NVIDIA does. | Unresolved |
| 2026-10-12 | OpenAI | prediction | I think that you're going to have AI starting businesses. And that's, I think, part of his plan is to have within, you know, OpenAI, OpenAI Pharma, OpenAI Motors, OpenAI Aviation, OpenAI, et cetera. | Unresolved |
| 2026-10-12 | OpenAI | prediction | From my perspective, we don't really need this deep understanding of what's going on in order to see that we shouldn't make them smarter than all of us and have them run the whole world. | Unresolved |
| 2026-10-12 | Sequoia | assertion | Sequoia viewed legal as a 'bull's-eye case for the use of LLMs'. | Unresolved |
| 2026-10-12 | Sequoia | assertion | Sequoia invested alongside Bain Capital Ventures and multiple angel investors. | Unresolved |
| 2026-10-12 | Sequoia | assertion | Sequoia partners Josephine Chen and Alfred Lin led the seed round. | Unresolved |
| 2026-10-12 | Sequoia | assertion | Sequoia's in-house lawyer Cindy Lee knew Crosby's CEO from Cooley. | Unresolved |
| 2026-10-12 | Sequoia | assertion | Sequoia considered legal work a $300 billion industry. | Unresolved |
| 2026-10-12 | Sequoia | assertion | Sequoia observed contract negotiation as a bottleneck in its portfolio companies. | Unresolved |
| 2026-10-12 | Sequoia | assertion | Sequoia's seed investing is 70% about the team and 30% about the market. | Unresolved |
| 2026-10-12 | Sequoia | assertion | Sequoia led Crosby's $5.8 million seed round. | Unresolved |
| 2026-10-12 | assertion | LinkedIn uses 1mind's AI sales agent to pitch and close deals. | Unresolved | |
| 2026-10-12 | Hubspot | assertion | HubSpot is one of more than 30 companies using 1mind's AI sales agent Mindy to pitch and close deals, and is among 1mind's named customers on annual contracts. | Unresolved |
| 2026-10-11 | TypeSafe AI | assertion | Jev is 444.6x cheaper than LLMs for System One tasks. | Unresolved |
| 2026-10-11 | TypeSafe AI | assertion | Jev costs $42 per billion input tokens. | Unresolved |
| 2026-10-11 | TypeSafe AI | assertion | Jev is 193.6x faster than LLMs for System One tasks. | Unresolved |
| 2026-10-11 | TypeSafe AI | assertion | TypeSafe AI built a new class of models called System One Models, with their first public model being Jev. | Unresolved |
| 2026-10-11 | TypeSafe AI | assertion | Jev has 238x lower input price than Claude Fable 5.1. | Unresolved |
| 2026-10-11 | TypeSafe AI | assertion | A specific workflow cost $0.000081 with Jev compared to $0.013880 with LLMs. | Unresolved |
| 2026-10-11 | TypeSafe AI | assertion | The document is the homepage of an entity named TypeSafe AI. | Unresolved |
| 2026-10-11 | TypeSafe AI | assertion | The homepage displays a base64 string that decodes to 'TypeSafe AI Intelligence Now'. | Unresolved |
| 2026-10-11 | TypeSafe AI | assertion | Jev has zero hallucinations. | Unresolved |
| 2026-10-11 | TypeSafe AI | assertion | The website displays a copyright notice for TypeSafe AI dated 2026. | Unresolved |
| 2026-10-11 | TypeSafe AI | assertion | TypeSafe AI raised a Series AI round. | Unresolved |