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1.
AudioClean Pro – on-device audio cleanup for macOS
1 points
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0 comments
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audiocleanpro.com
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upvote
1.
AudioClean Pro – on-device audio cleanup for macOS
(audiocleanpro.com)
▲ 1 points
0 comments
2.
Launching a message/text based crypto project
1 points
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1 comment
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github.com
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upvote
2.
Launching a message/text based crypto project
(github.com)
▲ 1 points
1 comment
3.
Milk and Cereal
1 points
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0 comments
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zachill.substack.com
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upvote
3.
Milk and Cereal
(zachill.substack.com)
▲ 1 points
0 comments
4.
Understand the Transit Compromise to Grasp Efficiency
1 points
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0 comments
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forbes.com
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upvote
4.
Understand the Transit Compromise to Grasp Efficiency
(forbes.com)
▲ 1 points
0 comments
5.
GPT-5.5 – No ARC-AGI-3 scores
1 points
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0 comments
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upvote
5.
GPT-5.5 – No ARC-AGI-3 scores
▲ 1 points
0 comments
6.
Show HN: SkySignal – An APM that opens PRs to fix your bugs
1 points
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0 comments
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skysignal.app
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upvote
6.
Show HN: SkySignal – An APM that opens PRs to fix your bugs
(skysignal.app)
▲ 1 points
0 comments
7.
Layoffs.FYI
1 points
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0 comments
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layoffs.fyi
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7.
Layoffs.FYI
(layoffs.fyi)
▲ 1 points
0 comments
8.
Sophia: A Scalable Second-Order Optimizer for Language Model Pre-Training
2 points
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0 comments
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arxiv.org
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upvote
8.
Sophia: A Scalable Second-Order Optimizer for Language Model Pre-Training
(arxiv.org)
▲ 2 points
0 comments
9.
Open Source Alternative of MuleSoft Agent Fabric
1 points
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1 comment
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architect.salesforce.com
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upvote
9.
Open Source Alternative of MuleSoft Agent Fabric
(architect.salesforce.com)
▲ 1 points
1 comment
10.
Catch what breaks before it costs you
1 points
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0 comments
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cavbot.io
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upvote
10.
Catch what breaks before it costs you
(cavbot.io)
▲ 1 points
0 comments
11.
Meta to cut 10% of jobs to 'offset' Mark Zuckerberg's AI spending
3 points
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1 comment
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ft.com
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upvote
11.
Meta to cut 10% of jobs to 'offset' Mark Zuckerberg's AI spending
(ft.com)
▲ 3 points
1 comment
12.
Trail of Bits Skills Marketplace
2 points
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0 comments
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github.com
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upvote
12.
Trail of Bits Skills Marketplace
(github.com)
▲ 2 points
0 comments
13.
Meta to Lay Off 10 Percent of Work Force in A.I. Push
1 points
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1 comment
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nytimes.com
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upvote
13.
Meta to Lay Off 10 Percent of Work Force in A.I. Push
(nytimes.com)
▲ 1 points
1 comment
14.
Made of Language by Claude
1 points
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0 comments
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byclaude.net
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upvote
14.
Made of Language by Claude
(byclaude.net)
▲ 1 points
0 comments
15.
Who even uses jemalloc in 2026 anyway? (many major projects)
1 points
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0 comments
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theconsensus.dev
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upvote
15.
Who even uses jemalloc in 2026 anyway? (many major projects)
(theconsensus.dev)
▲ 1 points
0 comments
16.
Mise dev goes full time on open source
2 points
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0 comments
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jdx.dev
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upvote
16.
Mise dev goes full time on open source
(jdx.dev)
▲ 2 points
0 comments
17.
Surveillance campaigns use commercial tools exploit long-known vulnerabilities
3 points
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1 comment
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cyberscoop.com
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upvote
17.
Surveillance campaigns use commercial tools exploit long-known vulnerabilities
(cyberscoop.com)
▲ 3 points
1 comment
18.
Ask HN: I need a reminder-brain – how do you do it?
2 points
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2 comments
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upvote
18.
Ask HN: I need a reminder-brain – how do you do it?
▲ 2 points
2 comments
19.
Teaching Machines to Read – Early Exploration
5 points
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0 comments
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daggerobelus.com
|
upvote
19.
Teaching Machines to Read – Early Exploration
(daggerobelus.com)
▲ 5 points
0 comments
20.
'Tokenmaxxing' as a weird new trend
3 points
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1 comment
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newsletter.pragmaticengineer.com
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upvote
20.
'Tokenmaxxing' as a weird new trend
(newsletter.pragmaticengineer.com)
▲ 3 points
1 comment
21.
Microsoft offers buyouts up to 7% of US employees
39 points
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60 comments
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techcrunch.com
|
upvote
21.
Microsoft offers buyouts up to 7% of US employees
(techcrunch.com)
▲ 39 points
60 comments
22.
TorchTPU: Running PyTorch Natively on TPUs at Google Scale
3 points
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0 comments
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developers.googleblog.com
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upvote
22.
TorchTPU: Running PyTorch Natively on TPUs at Google Scale
(developers.googleblog.com)
▲ 3 points
0 comments
23.
Our Companywide NanoClaw Setup
2 points
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0 comments
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bitsafe.notion.site
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upvote
23.
Our Companywide NanoClaw Setup
(bitsafe.notion.site)
▲ 2 points
0 comments
24.
Ask HN: Incoming Meta layoffs, what now?
3 points
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0 comments
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upvote
24.
Ask HN: Incoming Meta layoffs, what now?
▲ 3 points
0 comments
25.
Toxins from Great Salt Lake dust are absorbed by plants, soils and human bodies
2 points
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0 comments
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phys.org
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upvote
25.
Toxins from Great Salt Lake dust are absorbed by plants, soils and human bodies
(phys.org)
▲ 2 points
0 comments
26.
AI-Powered Tool Helps Computer Architects Boost Processor Performance
2 points
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0 comments
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news.ncsu.edu
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upvote
26.
AI-Powered Tool Helps Computer Architects Boost Processor Performance
(news.ncsu.edu)
▲ 2 points
0 comments
27.
For Enterprises, GPUs Need Virtualization as Much as CPUs Ever Did
2 points
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0 comments
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nextplatform.com
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upvote
27.
For Enterprises, GPUs Need Virtualization as Much as CPUs Ever Did
(nextplatform.com)
▲ 2 points
0 comments
28.
Four Years of GreptimeDB: Decisions, Detours, and What We Got Wrong
1 points
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0 comments
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greptime.com
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upvote
28.
Four Years of GreptimeDB: Decisions, Detours, and What We Got Wrong
(greptime.com)
▲ 1 points
0 comments
29.
Why AI data centers might lower electricity prices – not raise them
1 points
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0 comments
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bigthink.com
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upvote
29.
Why AI data centers might lower electricity prices – not raise them
(bigthink.com)
▲ 1 points
0 comments
30.
How the Tech World Turned Evil
10 points
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0 comments
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newrepublic.com
|
upvote
30.
How the Tech World Turned Evil
(newrepublic.com)
▲ 10 points
0 comments
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