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Pine AI getting 75.4% (SoTA) on τ³-Voice Leaderboard

by danielglh · 3 minutes ago

1|taubench.com|0 comments

Znuny: OTRS OSS

by sts153 · 6 minutes ago

1|www.znuny.org|1 comments

Show HN: Ideal Weight, BMI and Body Fat Calculator Tool

by solangiwaqas · 6 minutes ago

1|www.globaltoolsbox.online|0 comments

Structural Predictions for the AI Era

by afr99 · 6 minutes ago

1|www.newnex.io|1 comments

Show HN: Fail CI when your stack runs end-of-life software

by ScottUbiquitous · 8 minutes ago

2|github.com|0 comments

Risk Engineering

by throwaw12 · 8 minutes ago

1|risk-engineering.org|0 comments

Whoop replacement noop 10.5 released

by mp3geek · 11 minutes ago

1|github.com|0 comments

Why AGI Is Impossible

by vinialva · 11 minutes ago

3|substack.com|0 comments

The stories of the international soldiers who serve in Ukraine

by Erikun · 11 minutes ago

1|www.youtube.com|0 comments

Watch Directory

by scholaronroad · 13 minutes ago

1|fewer.directory|0 comments

Comments that go into code vs. those that go into the pull request description

by csmantle · 13 minutes ago

1|devblogs.microsoft.com|0 comments

Show HN: Kanna – Go generators for DI, queries, internationalization and more

by mickamy · 14 minutes ago

I kept writing constructor wiring up, domain types and API types conversions, test fixtures, DB row scans, bra-bra-brah by my hands. I know that libraries those use reflections may help, but they fails on runtime and we cannot see what is happening without reading code. So I decided to create a project in oposite hand. Generate code and put it in our repository. The code is ordinary Go code, so that we can review, watch diffs and also debug it.

For instance, when we have the following code,

func NewDB() DB { return &DB{} }

func NewUser(db

DB) User { return User{db: db} }

type Container struct { User User `di:""` }

it generates...

func NewContainer() *Container { db := NewDB() user := NewUser(db) return &Container{User: user} }

No providers, just scan packages and find them.

There are 5 generators.

1. DI

2. Struct to struct mapping (for protubf and so on)

3. Test fixtures (from model to them)

4. SQL queries (like an sqlc but without SQL and more like GORM)

5. Type safe i18n

All we need is just a struct and tags.

Project is just started and just hit v0.0.1. Any feedbacks are very welcome.

1|github.com|0 comments

NextJS Mailtrap SaaS Starter

by aliobm · 16 minutes ago

2|github.com|0 comments

Splunk patches 9.1 CVSS RCE in MCP Server and 9 flaws in AI Toolkit

by udayhero · 16 minutes ago

1|cyberupdates365.com|0 comments

AliExpress runs silent WebAudio fingerprinting that breaks Bluetooth multipoint

by emctech · 18 minutes ago

4|blog.laserphile.com|3 comments

Fancy Filtering Examples

by 1317 · 19 minutes ago

1|trac.ffmpeg.org|0 comments

Mastodon 5.0: Laying the Foundation

by birdculture · 19 minutes ago

2|blog.joinmastodon.org|0 comments

The Generative AI Learning Penalty: Evidence from Chinese Secondary Education

by _____k · 20 minutes ago

2|papers.ssrn.com|0 comments

Warren Buffett on the stock market (1999) [pdf]

by rzk · 21 minutes ago

2|www.berkshirehathaway.com|0 comments

India Country Brief: The Anthropic Economic Index

by ms7892 · 23 minutes ago

1|www.anthropic.com|0 comments