Nvidia competitor Etched hits $5B valuation, $1B in sales for AI chip 60%

By Julie Bort56%

6/30/2026, 11:13:02 AM

BS Summary: This article contains 27 faulty reasoning types, including Halo Effect, Availability Heuristic, and Appeal to Authority, with Framing Effect as the most egregious example at 31.8% saturation with 142 hits. Analysis detected 1,517 faulty-reasoning hits from 447 analyzed words, generating a BS Score of 56.2% and a BS Rank of 60% (8,754 of 21,887 articles). This article is worse (more manipulative) than 60.00% of the article peer group.

Nvidia AI chip competitor Etched issued a progress report on Tuesday, after TSMC successfully manufactured its chip earlier this year. 
The startup says it has already booked $1 billion in contract orders for its product: full systems powered by those chips. 
Etched is currently in the process of testing that first product with customers. 
It calls these systems “frontier inference clusters,” bundles that include the chips along with custom-designed racks and software, all built to help frontier models run inference faster, more cheaply, and with better power efficiency than rivals, Etched claims. 
(Inference is what happens after a user submits a prompt  it’s currently the biggest bottleneck, and the biggest cost center for AI companies trying to serve customers at scale, which is exactly why investors are paying attention to anyone promising to solve it.) 
Etched, founded in 2022, also revealed that it has now raised a total of $800 million to date. 
The most recent tranche was an unannounced $500 million round closed in December at a $5 billion post-money valuation, the company said. 
The startup has attracted a notable group of investors, too, including VentureTech Alliance, Jane Street, Hudson River Trading, Two Sigma, Ribbit Capital, and Stripes, who led the $500 million round. 
It has also secured angel investment from AI heavyweights including Andrej Karpathy, Geoffrey Hinton, Fei-Fei Li, Arthur Mensch, and Scott Wu. 
The cap table also includes billionaires Stanley Druckenmiller and Peter Thiel. 
Although the startup's press release frames Tuesday's announcement as Etched “coming out of stealth,” co-founders  CEO Gavin Uberti (pictured above) and president Robert Wachen  have actually been talking to TechCrunch about their chip plans since 2024. 
Both dropped out of Harvard and became Thiel fellows to found Etched, as Uberti told TechCrunch at the time. 
By 2024, Etched was already on investors’ radar, having raised more than $125 million. 
But on Patrick O’Shaughnessy’s “Invest Like the Best” podcast, the founders said that back in 2023, they struggled to get investors interested  even with a 30-page memo arguing that AI would eventually need specialized chips, not just general-purpose GPUs. 
Every major investor they pitched passed. 
The company was reportedly operating month-to-month, close to running out of cash, in those early days. 
Today's funding environment looks like a different planet by comparison. 
Investors are chasing everything AI-related, especially chip technology that speeds up inference. 
Competitor Cerebras had the first breakout IPO of the year, while AI chip maker Groq just raised $650 million. 
Hyperscalers Amazon, Google, and Microsoft all build their own in-house AI chips. 
Even OpenAI just announced its first custom chip, built by Broadcom. 
Article reasoning-pattern comparisonThis article: 9.8%Julie Bort: 4.1%TechCrunch: 3.0%Confirmation Bias9.8%This article: 14.8%Julie Bort: 2.7%TechCrunch: 1.4%Anchoring Bias14.8%This article: 25.3%Julie Bort: 7.5%TechCrunch: 3.5%Availability Heuristic25.3%This article: 2.7%Julie Bort: 2.4%TechCrunch: 1.1%Representativeness Heuristic2.7%This article: 0.0%Julie Bort: 1.2%TechCrunch: 0.6%Hindsight Bias0.0%This article: 12.5%Julie Bort: 3.9%TechCrunch: 2.5%Overconfidence Bias12.5%This article: 31.8%Julie Bort: 4.4%TechCrunch: 4.8%Framing Effect31.8%This article: 0.0%Julie Bort: 0.2%TechCrunch: 0.6%Loss Aversion0.0%This article: 6.7%Julie Bort: 1.2%TechCrunch: 0.6%Status Quo Bias6.7%This article: 0.0%Julie Bort: 0.1%TechCrunch: 0.2%Sunk Cost Effect0.0%This article: 4.7%Julie Bort: 4.2%TechCrunch: 4.9%Optimism Bias4.7%This article: 1.3%Julie Bort: 1.0%TechCrunch: 1.3%Pessimism Bias1.3%This article: 12.1%Julie Bort: 5.4%TechCrunch: 5.0%Negativity Bias12.1%This article: 8.9%Julie Bort: 3.0%TechCrunch: 2.1%Self-Serving Bias8.9%This article: 0.0%Julie Bort: 0.9%TechCrunch: 0.5%Fundamental Attribution Error0.0%This article: 0.0%Julie Bort: 0.0%TechCrunch: 0.1%Actor-Observer Bias0.0%This article: 0.0%Julie Bort: 0.1%TechCrunch: 0.6%In-Group Bias0.0%This article: 0.0%Julie Bort: 0.4%TechCrunch: 0.3%Out-Group Homogeneity Bias0.0%This article: 26.4%Julie Bort: 8.6%TechCrunch: 3.5%Halo Effect26.4%This article: 0.0%Julie Bort: 0.0%TechCrunch: 0.1%Horn Effect0.0%This article: 0.0%Julie Bort: 0.0%TechCrunch: 0.0%Dunning-Kruger Effect0.0%This article: 17.4%Julie Bort: 4.1%TechCrunch: 2.3%Recency Bias17.4%This article: 0.0%Julie Bort: 0.3%TechCrunch: 0.3%Primacy Effect0.0%This article: 0.0%Julie Bort: 0.1%TechCrunch: 0.1%Blind-Spot Bias0.0%This article: 0.0%Julie Bort: 0.0%TechCrunch: 0.3%Ad Hominem0.0%This article: 8.9%Julie Bort: 0.3%TechCrunch: 0.6%Straw Man8.9%This article: 22.4%Julie Bort: 7.9%TechCrunch: 4.4%Appeal to Authority22.4%This article: 0.0%Julie Bort: 1.5%TechCrunch: 1.7%False Dilemma0.0%This article: 0.0%Julie Bort: 0.0%TechCrunch: 0.7%Slippery Slope0.0%This article: 0.0%Julie Bort: 0.0%TechCrunch: 0.2%Circular Reasoning0.0%This article: 18.8%Julie Bort: 6.9%TechCrunch: 6.0%Hasty Generalization18.8%This article: 0.0%Julie Bort: 0.4%TechCrunch: 0.2%Red Herring0.0%This article: 5.1%Julie Bort: 3.8%TechCrunch: 1.1%Bandwagon5.1%This article: 9.8%Julie Bort: 2.0%TechCrunch: 2.2%Appeal to Emotion9.8%This article: 0.0%Julie Bort: 0.9%TechCrunch: 0.6%Begging the Question0.0%This article: 4.5%Julie Bort: 4.0%TechCrunch: 2.9%Post Hoc (False Cause)4.5%This article: 0.0%Julie Bort: 0.2%TechCrunch: 0.1%Tu Quoque0.0%This article: 13.4%Julie Bort: 0.8%TechCrunch: 0.5%Burden of Proof13.4%This article: 0.0%Julie Bort: 0.0%TechCrunch: 0.2%Appeal to Nature0.0%This article: 2.7%Julie Bort: 0.7%TechCrunch: 0.3%Composition/Division2.7%This article: 13.9%Julie Bort: 3.6%TechCrunch: 2.4%Anecdotal13.9%This article: 0.0%Julie Bort: 0.0%TechCrunch: 0.1%No True Scotsman0.0%This article: 19.2%Julie Bort: 3.4%TechCrunch: 2.0%Ambiguity (Equivocation)19.2%This article: 0.0%Julie Bort: 0.0%TechCrunch: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Julie Bort: 0.3%TechCrunch: 0.2%Middle Ground0.0%This article: 0.0%Julie Bort: 0.0%TechCrunch: 0.0%Personal Incredulity0.0%This article: 0.0%Julie Bort: 0.1%TechCrunch: 0.1%Special Pleading0.0%This article: 0.0%Julie Bort: 0.0%TechCrunch: 0.1%Genetic Fallacy0.0%This article: 20.4%Julie Bort: 4.5%TechCrunch: 2.0%Unattributed Quote20.4%This article: 0.0%Julie Bort: 0.5%TechCrunch: 0.7%Quote-first Misdirection0.0%This article: 12.1%Julie Bort: 7.3%TechCrunch: 4.6%Biased Writer Voice12.1%This article: 8.9%Julie Bort: 0.8%TechCrunch: 0.8%Indoctrination8.9%This article: 0.0%Julie Bort: 0.0%TechCrunch: 0.1%Politically Left Leaning Bias0.0%This article: 0.0%Julie Bort: 0.0%TechCrunch: 0.1%Politically Right Leaning Bias0.0%This article: 4.7%Julie Bort: 3.6%TechCrunch: 4.9%Attempt to Sell a Product or S…4.7%

447 words analyzed.

Speakers

2speakers29%attributed speech316writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 12 words • 0.0% coverageWriter's voice • 20 words • 0.0% coverageEtched • 21 words • 100.0% coverageEtched • 13 words • 0.0% coverageEtched • 38 words • 0.0% coverageWriter's voice • 44 words • 100.0% coverageEtched • 18 words • 0.0% coverageEtched • 22 words • 0.0% coverageWriter's voice • 30 words • 100.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverageWriter's voice • 38 words • 0.0% coverageGavin Uberti • 19 words • 0.0% coverageWriter's voice • 14 words • 0.0% coverageWriter's voice • 40 words • 100.0% coverageWriter's voice • 6 words • 0.0% coverageWriter's voice • 16 words • 0.0% coverageWriter's voice • 10 words • 100.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 19 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageWriter's voice • 11 words • 0.0% coverage
Selected voice

Etched

88%flagged-word coverage
112 attributed words85% of attributed speech100% writer coverage
0%12.5%25.0%Unattributed Quote-3.4 ptsWriter: 22.2%Etched: 18.8%18.8%Attempt to Sell a Product +18.8 ptsWriter: 0.0%Etched: 18.8%18.8%Biased Writer Voice-17.1 ptsWriter: 17.1%Etched: 0.0%0.0%Indoctrination-12.7 ptsWriter: 12.7%Etched: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.