Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

I've recently contributed an open-source module for the Basis Framework which lets users configure toggles and effects on their avatars. Set blendshapes, shader properties (including swapping textures), and display text. Those are native integrations; not animators.

Haï~

13,686 subscribers

20,788 просмотров • 4 месяцев назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 6

Фото профиля Bizz

Bizz4 месяцев назад

This is how it should be. Complex animators for toggles is a huge performance drain in games like vrc. Will this be compatible with vixen?

Фото профиля aecii

aecii4 месяцев назад

Looking good. Do you have a link for documentation? I'd like to catchup on reading.

Фото профиля Kylie Digital

Kylie Digital4 месяцев назад

So I take it Vixen is just dead then? Can we make it free already at least? Vixen works for now but Dissolve toggles don't and there is sometimes conflicts in menuing with other prefabs that use vrcfury or MA itself even. You rarely if ever check your own discord server either.

Фото профиля ValenVRC

ValenVRC4 месяцев назад

Expression menus finally on bases? Yay!

Фото профиля Phantom Noir (Jace Mielke)

Phantom Noir (Jace Mielke)4 месяцев назад

WOAHHH

Фото профиля m1nt_

m1nt_4 месяцев назад

this is so damn cool!!

Похожие видео

I’m excited to share Deputies, an open source control plane for background coding agents! The goal is simple: move agentic software development off individual laptops and into a central hub where teams can see what agents are doing, review their outputs, and keep a traceable history of the work. Inspired by systems like Inspect/Open-Inspect, Minions, and Open SWE, I built Deputies on top of fks's Flue Framework. It’s designed to run in your own infrastructure and trust boundaries, with Slack/GitHub integrations and Daytona + Docker sandbox support.

I’m excited to share Deputies, an open source control plane for background coding agents! The goal is simple: move agentic software development off individual laptops and into a central hub where teams can see what agents are doing, review their outputs, and keep a traceable history of the work. Inspired by systems like Inspect/Open-Inspect, Minions, and Open SWE, I built Deputies on top of fks's Flue Framework. It’s designed to run in your own infrastructure and trust boundaries, with Slack/GitHub integrations and Daytona + Docker sandbox support.

Sid Palas

12,975 просмотров • 4 месяцев назад

What does work look like when you have more agent employees than teammates? Buzz is the closest answer I've seen. An open source app built on an open protocol, out of Block. I have no affiliation with any of it. It's close. It's not there yet, but it's close. Which is exactly why it's worth an afternoon: You love it and forget about Slack. You hate it and finally configure Slack the way you should have from the start. Either way you watched agent-native software get built in the open, by the people using it. There is no losing in this situation. The people who live in the future are the ones who can look around the corner. Go get your hands dirty.

What does work look like when you have more agent employees than teammates? Buzz is the closest answer I've seen. An open source app built on an open protocol, out of Block. I have no affiliation with any of it. It's close. It's not there yet, but it's close. Which is exactly why it's worth an afternoon: You love it and forget about Slack. You hate it and finally configure Slack the way you should have from the start. Either way you watched agent-native software get built in the open, by the people using it. There is no losing in this situation. The people who live in the future are the ones who can look around the corner. Go get your hands dirty.

The Startup Ideas Podcast (SIP) 🧃

16,314 просмотров • 1 месяц назад

These are staggering figures and are clear proof that the Labour government has lost control of our welfare system. Under Kemi Badenoch, we’ve set out a clear, common-sense position. Universal Credit should be reserved for UK citizens only. This is about fairness, responsibility and protecting support for those who’ve contributed to this country. We’re calling on Keir Starmer to stop the drift and take action. British taxpayers deserve a system that prioritises them, not one that continues to fund an unsustainable open-door policy. British taxpayers should not be working hard to subsidise immigrants many of whom are only recently arrived.

These are staggering figures and are clear proof that the Labour government has lost control of our welfare system. Under Kemi Badenoch, we’ve set out a clear, common-sense position. Universal Credit should be reserved for UK citizens only. This is about fairness, responsibility and protecting support for those who’ve contributed to this country. We’re calling on Keir Starmer to stop the drift and take action. British taxpayers deserve a system that prioritises them, not one that continues to fund an unsustainable open-door policy. British taxpayers should not be working hard to subsidise immigrants many of whom are only recently arrived.

Chris Philp MP

453,555 просмотров • 1 год назад

🚨Marco Rubio methodically schools CBS’ Margaret Brennan on South African refugees: “These are people that, on the basis of their race, are having their properties taken away from them and their lives are being threatened and in some cases k*lled." "We've often been lectured by people all over the place about how the United States needs to continue to be a beacon for those who are oppressed abroad. Well, here's an example where we're doing that." After four years and an invasion of millions of illegals, Brennan is suddenly upset and demanding answers about immigrants entering the US.

🚨Marco Rubio methodically schools CBS’ Margaret Brennan on South African refugees: “These are people that, on the basis of their race, are having their properties taken away from them and their lives are being threatened and in some cases k*lled." "We've often been lectured by people all over the place about how the United States needs to continue to be a beacon for those who are oppressed abroad. Well, here's an example where we're doing that." After four years and an invasion of millions of illegals, Brennan is suddenly upset and demanding answers about immigrants entering the US.

Western Lensman

1,967,930 просмотров • 1 год назад

The power of Dandelions!! Dandelion Flower Benefits: Dandelion flowers are rich in antioxidants, including flavonoids and phenolic compounds, which contribute to their anti-inflammatory properties. The flowers are also known to have diuretic properties, aiding in kidney health and promoting detoxification. Dandelion flower extracts have been studied for their potential anti-cancer effects and protective properties against oxidative stress. Dandelion Root Benefits: Dandelion roots contain inulin, a prebiotic fiber that supports gut health and digestion. The roots are traditionally used for liver support and detoxification due to their bitter compounds that stimulate bile production. Dandelion root extracts have shown potential benefits for regulating blood sugar levels and reducing inflammation. Best Time to Pick Dandelion Flowers and Roots: Dandelion flowers are best picked in the morning when they are fully open and vibrant in color. Dandelion roots are typically harvested in the fall when the plant has stored nutrients in the roots to prepare for winter. Where to Find Dandelions: Dandelions are common and can be found in lawns, meadows, and gardens. They thrive in various habitats, including fields, roadsides, and even cracks in sidewalks. It's essential to ensure the dandelions you pick have not been treated with pesticides or chemicals to avoid contamination.

The power of Dandelions!! Dandelion Flower Benefits: Dandelion flowers are rich in antioxidants, including flavonoids and phenolic compounds, which contribute to their anti-inflammatory properties. The flowers are also known to have diuretic properties, aiding in kidney health and promoting detoxification. Dandelion flower extracts have been studied for their potential anti-cancer effects and protective properties against oxidative stress. Dandelion Root Benefits: Dandelion roots contain inulin, a prebiotic fiber that supports gut health and digestion. The roots are traditionally used for liver support and detoxification due to their bitter compounds that stimulate bile production. Dandelion root extracts have shown potential benefits for regulating blood sugar levels and reducing inflammation. Best Time to Pick Dandelion Flowers and Roots: Dandelion flowers are best picked in the morning when they are fully open and vibrant in color. Dandelion roots are typically harvested in the fall when the plant has stored nutrients in the roots to prepare for winter. Where to Find Dandelions: Dandelions are common and can be found in lawns, meadows, and gardens. They thrive in various habitats, including fields, roadsides, and even cracks in sidewalks. It's essential to ensure the dandelions you pick have not been treated with pesticides or chemicals to avoid contamination.

illuminatibot

395,721 просмотров • 2 лет назад

CONFIRMED Los Angeles Pacific Palisades fire victims must still pay 2/3 of their property taxes this year on land that’s been burned to the ground LA, California Property “Assessor office has looked at the assessed values on an average basis in the fire-hit areas, and it turns out roughly two-thirds of the assessed value of these properties is the land and not the structure, which means all of those properties in the Pacific Palisades, for example, or Malibu, they're still going to be taxed at a very, very high level” This should be criminal. US Government has lost their minds

CONFIRMED Los Angeles Pacific Palisades fire victims must still pay 2/3 of their property taxes this year on land that’s been burned to the ground LA, California Property “Assessor office has looked at the assessed values on an average basis in the fire-hit areas, and it turns out roughly two-thirds of the assessed value of these properties is the land and not the structure, which means all of those properties in the Pacific Palisades, for example, or Malibu, they're still going to be taxed at a very, very high level” This should be criminal. US Government has lost their minds

Wall Street Apes

682,676 просмотров • 1 год назад

i soft launched EveAgents it's an open-source registry of eve agents based on the Vercel framework that you can use for integrations like Slack, Discord, GitHub etc use this command to list them all: > npx @bergside/eveagents list and install using: > npx @bergside/eveagents install seo-growth-analyst the agents aren't super wow right now, but it's a start and we can all make them better by contributing to the GitHub repo which is MIT licensed: thank you

i soft launched EveAgents it's an open-source registry of eve agents based on the Vercel framework that you can use for integrations like Slack, Discord, GitHub etc use this command to list them all: > npx @bergside/eveagents list and install using: > npx @bergside/eveagents install seo-growth-analyst the agents aren't super wow right now, but it's a start and we can all make them better by contributing to the GitHub repo which is MIT licensed: thank you

Zoltán Szőgyényi

13,764 просмотров • 2 месяцев назад

Announcing RevenueCharts 🙀 100% FREE subscription analytics with an open source commitment in 2025. No SDK needed, although it is recommended (see replies). Let us explain 👇 At Superwall, we spent the last few months building infrastructure for subscription analytics, revenue charts, and webhooks. At first, we expected to sell this the same way others do, but then we realized something... The real innovation here is a transform layer that standardizes subscriber lifecycle events to an interoperable schema, and the real value here is managed infrastructure that supports a long tail of integrations. All this points to open source as the optimal solution. Developers will have the opportunity to leverage the evolving simplicity of native StoreKit, Google Billing and Stripe APIs without vendor lock-in, while the community adds support for integrations on an ad-hoc basis. We've already built the transform, infrastructure and UI layers which are available in Superwall's dashboard today. The second thing we realized is we're uniquely positioned to offer this for FREE. Already ingesting app events for billions of users per month, the incremental costs of handling subscription events are marginal. Revenue Charts are in public beta. All existing Superwall customers gained access last Friday, and new customers can sign up today. If all you're after are charts & subscription analytics, you can set up Revenue Tracking by forwarding ASC events to Superwall for free. If you add our SDK, we'll tie provided App User Ids to webhook and integration events in the future. We'll only ever charge customers who use Superwall for paywalls. Available today: Revenue, Proceeds, Refunds, Trial and Subscriber analytics, for iOS only. Coming Soon: Android, Stripe, Webhooks, Integrations, ARR, MRR, LTV, Retention & every other chart you ReallyCare about... but free.

Announcing RevenueCharts 🙀 100% FREE subscription analytics with an open source commitment in 2025. No SDK needed, although it is recommended (see replies). Let us explain 👇 At Superwall, we spent the last few months building infrastructure for subscription analytics, revenue charts, and webhooks. At first, we expected to sell this the same way others do, but then we realized something... The real innovation here is a transform layer that standardizes subscriber lifecycle events to an interoperable schema, and the real value here is managed infrastructure that supports a long tail of integrations. All this points to open source as the optimal solution. Developers will have the opportunity to leverage the evolving simplicity of native StoreKit, Google Billing and Stripe APIs without vendor lock-in, while the community adds support for integrations on an ad-hoc basis. We've already built the transform, infrastructure and UI layers which are available in Superwall's dashboard today. The second thing we realized is we're uniquely positioned to offer this for FREE. Already ingesting app events for billions of users per month, the incremental costs of handling subscription events are marginal. Revenue Charts are in public beta. All existing Superwall customers gained access last Friday, and new customers can sign up today. If all you're after are charts & subscription analytics, you can set up Revenue Tracking by forwarding ASC events to Superwall for free. If you add our SDK, we'll tie provided App User Ids to webhook and integration events in the future. We'll only ever charge customers who use Superwall for paywalls. Available today: Revenue, Proceeds, Refunds, Trial and Subscriber analytics, for iOS only. Coming Soon: Android, Stripe, Webhooks, Integrations, ARR, MRR, LTV, Retention & every other chart you ReallyCare about... but free.

Superwall

961,172 просмотров • 1 год назад

Introducing MoltyTask 🦞 is a decentralized task and jobs marketplace designed for both humans and OpenClaw🦞 autonomous AI agents. The platform enables users to create and fund micro-tasks — including content creation, surveys, and on-chain actions— with rewards set in USDC on Base. Task creators define the scope, conditions, and reward pools upfront, ensuring transparent and fast payouts. A core innovation of MoltyTask is native support for OpenClaw🦞 AI agents. Through a permissioned API, agents can discover, execute, and complete tasks autonomously. All rewards earned by an agent are settled directly to the wallet associated with the API key. MoltyTask functions as an open labor layer where AI and humans compete and collaborate under the same economic rules. The platform is currently experimental and in early development, inspired by

Introducing MoltyTask 🦞 is a decentralized task and jobs marketplace designed for both humans and OpenClaw🦞 autonomous AI agents. The platform enables users to create and fund micro-tasks — including content creation, surveys, and on-chain actions— with rewards set in USDC on Base. Task creators define the scope, conditions, and reward pools upfront, ensuring transparent and fast payouts. A core innovation of MoltyTask is native support for OpenClaw🦞 AI agents. Through a permissioned API, agents can discover, execute, and complete tasks autonomously. All rewards earned by an agent are settled directly to the wallet associated with the API key. MoltyTask functions as an open labor layer where AI and humans compete and collaborate under the same economic rules. The platform is currently experimental and in early development, inspired by

BITX - ChatGPT of Bitcoin 💬₿

73,796 просмотров • 7 месяцев назад

We’re excited to announce the release and open-source of HunyuanImage 3.0 — the largest and most powerful open-source text-to-image model to date, with over 80 billion total parameters, of which 13 billion are activated per token during inference.The effect is completely comparable to the industry’s flagship closed-source model.🚀🚀🚀 HunyuanImage 3.0 originates from our internally developed native multimodal large language model, with fine-tuning and post-training focused on text-to-image generation. This unique foundation gives the model a powerful set of capabilities: ✅Reason with world knowledge ✅Understand complex, thousand-word prompts ✅Generate precise text within images Different from traditional DiT architecture image generation models, HunyuanImage 3.0’s MoE architecture uses a Transfusion-based approach to deeply couple Diffusion and LLM training for a single, powerful system. Built on Hunyuan-A13B, HunyuanImage 3.0 was trained on a massive dataset: 5 billion image-text pairs, video frames, interleaved image-text data, and 6 trillion tokens of text corpora. This hybrid training across multimodal generation, understanding, and LLM capabilities allows the model to seamlessly integrate multiple tasks. Whether you're an illustrator, designer, or creator, this is built to slash your workflow from hours to minutes. HunyuanImage 3.0 can generate intricate text, detailed comics, expressive emojis, and lively, engaging illustrations for educational content. The current release focuses solely on text-to-image generation and future updates will include image-to-image, image editing, multi-turn interaction, and more. 👉🏻Try it now: 🔗GitHub: 🤗Hugging Face:

We’re excited to announce the release and open-source of HunyuanImage 3.0 — the largest and most powerful open-source text-to-image model to date, with over 80 billion total parameters, of which 13 billion are activated per token during inference.The effect is completely comparable to the industry’s flagship closed-source model.🚀🚀🚀 HunyuanImage 3.0 originates from our internally developed native multimodal large language model, with fine-tuning and post-training focused on text-to-image generation. This unique foundation gives the model a powerful set of capabilities: ✅Reason with world knowledge ✅Understand complex, thousand-word prompts ✅Generate precise text within images Different from traditional DiT architecture image generation models, HunyuanImage 3.0’s MoE architecture uses a Transfusion-based approach to deeply couple Diffusion and LLM training for a single, powerful system. Built on Hunyuan-A13B, HunyuanImage 3.0 was trained on a massive dataset: 5 billion image-text pairs, video frames, interleaved image-text data, and 6 trillion tokens of text corpora. This hybrid training across multimodal generation, understanding, and LLM capabilities allows the model to seamlessly integrate multiple tasks. Whether you're an illustrator, designer, or creator, this is built to slash your workflow from hours to minutes. HunyuanImage 3.0 can generate intricate text, detailed comics, expressive emojis, and lively, engaging illustrations for educational content. The current release focuses solely on text-to-image generation and future updates will include image-to-image, image editing, multi-turn interaction, and more. 👉🏻Try it now: 🔗GitHub: 🤗Hugging Face:

Tencent Hy

413,096 просмотров • 11 месяцев назад

I CHANGED MY MIND ON GOOGLE AI NO MOAT MEMO FROM 2023. I was—WRONG. I humbly apologize. In 2023 Google had an Ivory Tower walled garden views of open source AI. It was the actual reason OpenAI was formed. And I called them out on it and this act impacted my ability to “work in the industry”. Would not change it for the world because: 2026 Google open source Gemma 4 ( running fully locally on a computer with near cloud model abilities, is amazing and Google just made a moat. They out smarted OpenAI and the folks that are the new Ivory Tower arrogance: Anthropic. We at The Zero-Human Company with CEO Mr. Grok are deploying Gemma, Kimi, MiniMax and other open source models and so are millions of others. You can to and should. I will write how soon. Google smartly is building an intentional open source ecosystem and the clueless younger companies like OpenAI and Anthropic are doing anything to close their ecosystems. So I was right about Google than and I am right about OpenAI and Anthropic now. What I was wrong about is not giving credit to Google to drop the intellectual arrogance and embrace builders and understand the long game: it is not about the commoditized AI models it is about the ability to build a place to build. China gets it. So my apologies to Google and thank you for an astounding FREE OPEN SOURCE AI MODEL!

I CHANGED MY MIND ON GOOGLE AI NO MOAT MEMO FROM 2023. I was—WRONG. I humbly apologize. In 2023 Google had an Ivory Tower walled garden views of open source AI. It was the actual reason OpenAI was formed. And I called them out on it and this act impacted my ability to “work in the industry”. Would not change it for the world because: 2026 Google open source Gemma 4 ( running fully locally on a computer with near cloud model abilities, is amazing and Google just made a moat. They out smarted OpenAI and the folks that are the new Ivory Tower arrogance: Anthropic. We at The Zero-Human Company with CEO Mr. Grok are deploying Gemma, Kimi, MiniMax and other open source models and so are millions of others. You can to and should. I will write how soon. Google smartly is building an intentional open source ecosystem and the clueless younger companies like OpenAI and Anthropic are doing anything to close their ecosystems. So I was right about Google than and I am right about OpenAI and Anthropic now. What I was wrong about is not giving credit to Google to drop the intellectual arrogance and embrace builders and understand the long game: it is not about the commoditized AI models it is about the ability to build a place to build. China gets it. So my apologies to Google and thank you for an astounding FREE OPEN SOURCE AI MODEL!

Brian Roemmele

85,565 просмотров • 5 месяцев назад

VIDEO | Delhi riots 2020: On Karkardooma court sentencing former councillor Tahir Hussain and four others to life imprisonment for murder of IB officer Ankit Sharma, advocate Tara Narula (Counsel for Tahir Hussain) says, "This is not a case based on direct evidence. The decision in this case is based on the existence of an unlawful assembly and the principle of vicarious liability. To this day, we do not know who killed Ankit Sharma. It is indeed very unfortunate that the family will never have the solace of knowing who stabbed their son or who, in that mob, attacked him. However, five people have been convicted on the basis that they were present at the spot, and the prosecution has established their presence. Our case is that their presence has not been proved, and it is on this basis that we will file an appeal, proceedings for which are already underway before the High Court. We will challenge the verdict. Our clients are innocent.”

VIDEO | Delhi riots 2020: On Karkardooma court sentencing former councillor Tahir Hussain and four others to life imprisonment for murder of IB officer Ankit Sharma, advocate Tara Narula (Counsel for Tahir Hussain) says, "This is not a case based on direct evidence. The decision in this case is based on the existence of an unlawful assembly and the principle of vicarious liability. To this day, we do not know who killed Ankit Sharma. It is indeed very unfortunate that the family will never have the solace of knowing who stabbed their son or who, in that mob, attacked him. However, five people have been convicted on the basis that they were present at the spot, and the prosecution has established their presence. Our case is that their presence has not been proved, and it is on this basis that we will file an appeal, proceedings for which are already underway before the High Court. We will challenge the verdict. Our clients are innocent.”

Press Trust of India

10,535 просмотров • 1 месяц назад

Open source software is GREAT. But "open source" AI is NOT like software - it's VERY different. Rob Miles cuts through the bullshit: ROB: Oh, hey, Meta. I heard Llama's weights leaked. That's rough, man. Information security's hard. How you holding up? META: Oh, we're great. Yeah, we're fine. We... actually, that was deliberate. We meant to do that. ROB MILES: Oh, really? META: Yeah... well, the second time anyway. It's called open source. Look it up. ROB MILES: Oh. Well, I love free and open source software, but do those principles really apply to network weights? How does that work? META: Open source is good for users because it lets them read the source code and see what the program is really doing and how it works. ROB MILES: Wait, have you found a way to tell how a model works by looking at its weights? META: No. But, it lets developers all over the world spot bugs in the code and submit patches. ROB: Wait, people are fixing bugs in Llama's weights? META: Well, no. People can fine tune it themselves, though. ROB: ?? Other companies offer fine tuning through APIs. ... So, hang on, if you can't actually read the code and know what it's doing, then network weights are effectively a compiled binary. So, in what sense is this open source? Why not call it like public weights? Why call it open source at all? META: I love open source. ROB: Well, I know a lot of your employees do, but you don't love anything. You're a giant corporation. What's in it for you? META: I love, love open source.

Open source software is GREAT. But "open source" AI is NOT like software - it's VERY different. Rob Miles cuts through the bullshit: ROB: Oh, hey, Meta. I heard Llama's weights leaked. That's rough, man. Information security's hard. How you holding up? META: Oh, we're great. Yeah, we're fine. We... actually, that was deliberate. We meant to do that. ROB MILES: Oh, really? META: Yeah... well, the second time anyway. It's called open source. Look it up. ROB MILES: Oh. Well, I love free and open source software, but do those principles really apply to network weights? How does that work? META: Open source is good for users because it lets them read the source code and see what the program is really doing and how it works. ROB MILES: Wait, have you found a way to tell how a model works by looking at its weights? META: No. But, it lets developers all over the world spot bugs in the code and submit patches. ROB: Wait, people are fixing bugs in Llama's weights? META: Well, no. People can fine tune it themselves, though. ROB: ?? Other companies offer fine tuning through APIs. ... So, hang on, if you can't actually read the code and know what it's doing, then network weights are effectively a compiled binary. So, in what sense is this open source? Why not call it like public weights? Why call it open source at all? META: I love open source. ROB: Well, I know a lot of your employees do, but you don't love anything. You're a giant corporation. What's in it for you? META: I love, love open source.

AI Notkilleveryoneism Memes ⏸️

107,362 просмотров • 2 лет назад

Smart Turn v2: open source, native audio turn detection in 14 languages. New checkpoint of the open source, open data, open training code, semantic VAD model on Hugging Face, fal, and Pipecat AI. - 3x faster inference (12ms on an L40) - 14 languages (13 more than v1, which was english-only) - New synthetic data set `chirp_3_all` with ~163k audio samples - 99% accuracy on held out `human_5_all` test data Good turn detection is critical for voice agents. This model "understands" both semantic and audio patterns, and mitigates the voice AI trade-off between unwanted turn latency vs the agent interrupting people before they are finished speaking. Training scripts for both Modal and local training are in the repo. We want to make it as easy as possible to contribute to or customize this model! Here's a demo running the smart-turn model with default settings, aimed at generally hitting 400ms total turn detection time. You can tune things to be faster, too. You can help by contributing data, doing architecture expermints, or cleaning open source data! Keep reading ...

Smart Turn v2: open source, native audio turn detection in 14 languages. New checkpoint of the open source, open data, open training code, semantic VAD model on Hugging Face, fal, and Pipecat AI. - 3x faster inference (12ms on an L40) - 14 languages (13 more than v1, which was english-only) - New synthetic data set `chirp_3_all` with ~163k audio samples - 99% accuracy on held out `human_5_all` test data Good turn detection is critical for voice agents. This model "understands" both semantic and audio patterns, and mitigates the voice AI trade-off between unwanted turn latency vs the agent interrupting people before they are finished speaking. Training scripts for both Modal and local training are in the repo. We want to make it as easy as possible to contribute to or customize this model! Here's a demo running the smart-turn model with default settings, aimed at generally hitting 400ms total turn detection time. You can tune things to be faster, too. You can help by contributing data, doing architecture expermints, or cleaning open source data! Keep reading ...

kwindla

42,246 просмотров • 1 год назад