Tensorlake
tensorlake.ai
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People
Growth
Offices
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Financials
Funding and backers
Team
7
US Form 5500 (plan participants) · Dec 2025 · +133% in a year
Hiring now
3
open roles
Backers
2
Plug and Play, Hawkhill
Momentum
15/100
in the news
Last sign of life
this month
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
May 15, 2025
Launched on Hacker News Show HN: Tensorlake-Ingest, Parse, and Orchestrate Documents for AI Workflows
2023
Founded
Tractionpublic signals, read monthly
Backed byfrom the funds' portfolios and accelerator catalogs
Plug and Play 
Hawkhill Investors in similar startupsfunds that back the companies most like this one
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How Tensorlake hires
Truth index
B 75/100
Ghost roles
0%
Stale roles
100%
Reposted roles
0%
Tensorlake scores B on the Alion truth index (A is best, E worst), measured over 3 open roles re-checked against its own hiring board: 0% look like ghost listings, 100% have gone stale and 0% are the same role posted again. It measures how much of what this employer publishes turns into a real, finite search - not the employer as a workplace. How the index is computed
News
Dynamic Firewall Policies for Sandboxes.
Every Tensorlake sandbox that carries a network policy sits behind an egress firewall on the host. A walk through the enforcement path, plus two recent improvements: live policy updates and per-connection hostname checks.
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Firecracker disk snapshots in O(changed bytes), not O(disk size)
We added copy-on-write image layering inside Firecracker's block device, and the disk got faster, not slower. Snapshots pause the VM for tens of milliseconds and cost only what changed, so a running Postgres barely notices them, at any disk size.
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Accelerating Harbor with Tensorlake.
Tensorlake runs the real task Docker images for Harbor on microVM sandboxes. On Terminal-Bench 2.1 the oracle passes all 89 tasks in 36m 44s - every image published, cold starts in seconds.
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Filter and rank: how we schedule sandboxes across every cloud
One primitive - filter, then rank - runs through statefulness, multi-cloud, BYOC, and the data path. A tour of the scheduler behind Tensorlake's sandbox fleet.
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ForgeCode: top open source coding agent in [email protected]
ForgeCode reaches 81.8% on Terminal-Bench 2.0 with both Claude Opus 4.6 and GPT-5.4 - a look at what the harness is doing that the model isn't.
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Building Sandboxes for Computer Use
Computer Use is a tiny loop. The hard part is building the boring, reproducible desktop around it.
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Starting hundreds of sandboxes in parallel, and the design that makes it possible.
We replaced reconciliation loops with durable command outbox to scale our sandbox scheduler to start 1000s of sandboxes every second
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Tensorlake is now an official Harbor environment runtime
Harbor defines and evaluates terminal tasks. Tensorlake provides the MicroVM execution layer. Together they are a full evaluation stack for CLI agents.
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Tech stack
Technologies named in job postings at Tensorlake over the last 12 months, by layer, with the share of postings for each.
Technologies in use
28
Postings analysed
3
Stack modernity
93/100AI adopter
Languages
Python
Rust
TypeScript
C++
Frameworks & libraries
PyTorch
Next.js
React.js
Databases
FoundationDB
PostgreSQL
Cloud & platforms
Kubernetes
AI & ML
LLM
LoRA
PEFT
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Full Tensorlake tech stack
28 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
58/100
Growing
Open positions
3
0 opened / 0 closed in 30 days
ATS activity
Every ~4 hours
10/16/2026
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Backend
67% ▼
AI/ML
33% ▼
Activity Timeline
Added Machine Learning to stack
Sep 2026
Added Agentic Workflows to stack
Sep 2026
Added AI Agents to stack
Aug 2026
Added Context Engineering to stack
Aug 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
San Francisco
San Francisco
United States
HQ
2 open roles 100% engineering 50% remote 1-10 est. staff
hires for AI/ML, Backend
Jobs
≈ $140k – $252k per year (Estimated) • Remote (United States) • Full-Time • 5+ years exp • San Francisco
Python
LoRA
Fine-tuning
Quantization
Multimodal AI
Computer Vision
AI Agents
NLP
PEFT
PyTorch
LLM
RAG
Context Engineering
Agentic Workflows
Apply
≈ $132k – $229k per year (Estimated) • Remote (United States) • Full-Time • 5+ years exp
Python
JavaScript
Rust
TypeScript
PostgreSQL
Frontend
Next.js
React.js
DevOps
Rest API
Apply
≈ $163k – $299k per year (Estimated) • In office • Full-Time • 5+ years exp • San Francisco
Python
Go
Rust
TypeScript
C++
FoundationDB
AI/ML
Machine Learning
DevOps
Terraform
CI/CD
Kubernetes
Apply