Jaydeep

🐍 Python | 🤖 AI/ML | Software Engineer | Practical roadmaps • Hands-on tutorials | Collabs via DM or [email protected] 📩

[Jaydeep @_jaydeepkarale]

POV: Making Claude the Senior Software Engineer after Friday 2 PM

[Jaydeep @_jaydeepkarale]

Learn...Build...Fail...Learn...Repeat https://t.co/BWFfMYSNms

[Shefali @Shefali__J]

Python From Scratch #43

Learn Python’s style guide and write code that’s clean, readable, and consistent👇🏻

[Jaydeep @_jaydeepkarale]

@Shefali__J Well written article Shefali 👏

[Jaydeep @_jaydeepkarale]

@everettcookny @rhobusiness A single step sign-up is really great experience

[Everett Cook @everettcookny]

Starting today, incorporating on @rhobusiness is free.

You can form your company and open a Rho business account in one step, and it takes as little as 10 minutes.

How it works: Open a Rho account and deposit $10K in your first 90 days. You'll then receive a refund on the incorporation fee.

We want to make 2026 a record for new business creation - and break the record in 2027 - one easy incorporation at a time.

[Jaydeep @_jaydeepkarale]

AI agents look great in demos. Until real users break them.

So @pluraiAI built a world where your agent can fail, learn, and get fixed before your users ever see it.

Try it now 🤝

[Ilan Kadar @ilan_kadar]

Big day for us at @pluraiAI ! Plurai Simulation is live and free for every AI engineer.

AI agents look great in demos. Until real users break them.

So we built a world where your agent can fail, learn, and get fixed before your users ever see it.

→ Digital twin: Your real agent, its tools, and environment recreated from your code

→ Simulated users & tasks: Realistic users, tasks, and workflows that push your agent into the edge cases that matter

→ Auto evals: Check what your agent actually did, not just what it said

→ Verified fixes: Every failure comes with the run that exposed it and a fix you can verify

→ Replays: Turn any production failure into a simulation and replay it against every new version of your agent

All inside the coding agent you already use: @claudeai code, @OpenAICodexCli , or @GitHubCopilot .

Start simulating for free: https://t.co/1PNPQdW29S

[Jaydeep @_jaydeepkarale]

@ilan_kadar @pluraiAI A free environment to test agents is amazing, thanks for making this happen 🙌

[Ilan Kadar @ilan_kadar]

Big day for us at @pluraiAI ! Plurai Simulation is live and free for every AI engineer.

AI agents look great in demos. Until real users break them.

So we built a world where your agent can fail, learn, and get fixed before your users ever see it.

→ Digital twin: Your real agent, its tools, and environment recreated from your code

→ Simulated users & tasks: Realistic users, tasks, and workflows that push your agent into the edge cases that matter

→ Auto evals: Check what your agent actually did, not just what it said

→ Verified fixes: Every failure comes with the run that exposed it and a fix you can verify

→ Replays: Turn any production failure into a simulation and replay it against every new version of your agent

All inside the coding agent you already use: @claudeai code, @OpenAICodexCli , or @GitHubCopilot .

Start simulating for free: https://t.co/1PNPQdW29S

[Jaydeep @_jaydeepkarale]

@twtayaan 😭😭😭

[Jaydeep @_jaydeepkarale]

High-quality, multilingual voice generation doesn't always need to come from a paid API.

What if you could clone a voice and generate speech in 600+ languages without paying for every character?

Meet OmniVoice, an open-source text-to-speech model from k2-fsa.

Most developers building voice-enabled applications reach for services like ElevenLabs, Cartesia or PlayHT. They offer polished APIs, voice libraries and managed infrastructure, but usage comes with recurring costs.

OmniVoice takes a different route.

It is a multilingual, zero-shot TTS model that can generate speech from text, clone a voice using a short reference recording, and design voices using attributes such as age, pitch and accent.

The interesting part is how it works.

Instead of using a conventional two-stage pipeline that first generates speech-related representations and then converts them into audio, OmniVoice uses a diffusion language model-style architecture to map text directly to acoustic tokens.

The project reports support for more than 600 languages and real-time factors as low as 0.025, meaning the reported generation time can be roughly 2.5 seconds for 100 seconds of audio under the relevant benchmark conditions.

The pros

• 600+ languages, including support for languages underserved by many commercial voice tools.

• Zero-shot voice cloning from a short reference recording, without training a separate voice model.

• Voice design, pronunciation controls and non-verbal expressions such as laughter.

• Apache 2.0 licensed code, with pretrained models publicly available.

• Local deployment and batch inference, giving you more control over infrastructure, data and usage costs.

The cons

• Self-hosting is not free. You still pay for GPU compute, storage, deployment and maintenance.

• The setup is more involved than calling a hosted API. You need a compatible ML environment and hardware appropriate for your workload.

• Supporting 600+ languages does not mean identical quality across all of them. Voice design is primarily trained on Chinese and English, and results can be less stable in other languages.

• The speed and quality claims are reported by the project. Benchmark numbers alone don't guarantee comparable results on your hardware, language or audio samples.

• Unlike a managed provider, the repository does not give you a ready-made production SLA, usage dashboard or turnkey scaling infrastructure.

How does it compare with paid alternatives?

• ElevenLabs: A strong option for expressive speech, voice cloning and a managed developer experience. Its API pricing starts around $0.05 per 1,000 characters for Flash/Turbo and $0.10 for several higher-quality models.

• Cartesia: Built around fast speech generation and real-time voice applications, with managed APIs and paid plans starting at $5/month for Pro.

• PlayHT: Offers hosted TTS, voice cloning and developer access through subscription plans.

These are not perfectly interchangeable products. Commercial providers sell more than model weights: they package inference, infrastructure, APIs and operational support.

OmniVoice gives you greater control, but also more responsibility.

My take: If you're building a product that generates large volumes of multilingual audio and have the engineering capacity to run models yourself, OmniVoice is worth evaluating. If you need to ship quickly with minimal infrastructure work, a paid API may still be the better deal.

The real comparison isn't free versus paid.

It's self-hosting cost and control versus managed convenience and reliability.

Repository: https://t.co/6VLHiMogD7

[Jaydeep @_jaydeepkarale]

https://t.co/Xl7KL4vhAa

[Jaydeep @_jaydeepkarale]

@fromcodetocloud 🤣🤣🤣🤣🤣🤣🤣🤣

[Jaydeep @_jaydeepkarale]

@abxxai @FishCreativeHQ The result is soo good

[Jaydeep @_jaydeepkarale]

@RaulJuncoV And the happy path not holding for LLMs or AI apps is much worse than normal apps

[Jaydeep @_jaydeepkarale]

@vivek_naskar Back at work ?

[Jaydeep @_jaydeepkarale]

@devops_nk 😭😭😭😭

[Jaydeep @_jaydeepkarale]

@devops_nk Thar and Fortuner bois

[Jaydeep @_jaydeepkarale]

Whole of India currently is at the mercy of the rich who are no afraid of the law

The law enforcement is at rhe mercy of politicians who in turn are at the mercy of the of these rich people

Its a vicious circle.

Normal citizens will suffer

[Pune @PuneDistrict]

People are proudly flaunting blocking expressways and highways to make reels now!

Shameful. An example should be made of someone before this becomes a daily thing.

[Jaydeep @_jaydeepkarale]

@twtayaan Confuse them enough ? 🥲

[Jaydeep @_jaydeepkarale]

Recruiter: "Why did you leave your previous company?"

Average candidate:

- "There were layoffs."
- "Management wasn't good."
- "The company didn't value employees."

High-value candidate:

[Jaydeep @_jaydeepkarale]

@abxxai Definitely the subscription cancelations

[Jaydeep @_jaydeepkarale]

@TouchlineX Why is he surprised, the club is shambles

[Jaydeep @_jaydeepkarale]

@shivamexec LFG 💪

[Jaydeep @_jaydeepkarale]

@devops_nk Not all heros wear capes