Charly Wargnier Profile picture
Dec 30, 2021 16 tweets 22 min read Read on X
2021's been an eventful year!

- Spoke at @brighonSEO & #TechSEOBoost
- Created seopythonistas.com in @hamletbatista's honour
- Got my 1st #Python contract, then an ace DevRel job at @streamlit 🎈
- Published 7 apps used by SEOs & Data scientists

Apps recap is here! ↓🧵 Image
1. Keyword Clustering app

My 1st collab with the great @LeeFootSEO!

Cluster your keywords & calculate:

✓ Traffic/volume per cluster
✓ CPC/KW difficulty
✓ Much more!

🎈 App → share.streamlit.io/charlywargnier…
📰 Post → charlywargnier.com/post/introduci…
⚡ Powered by Polyfuzz Image
2. What The FAQ

Leverage the power of Google T5 & @huggingface Transformers to generate FAQs directly from URLs! 🤗

🎈 App → share.streamlit.io/charlywargnier…
📰 Post → charlywargnier.com/post/wtfaq-an-…
⚡Powered by NLTK & @Google T5 via @huggingface Image
3. Auto-SEO forecasting with StreamProphet

Connect to Search Console and visualise your forecasted traffic in a few clicks!

🎈 App →
share.streamlit.io/charlywargnier…
📰 Post → charlywargnier.com/post/auto-seo-…
⚡ Powered by Google Search Console API and @Facebook Prophet
4. Wiki Topic Grapher

My 1st collab w/ the great @jroakes!

✓ Retrieve entity relationships from Wikipedia (URLs or topics)
✓ Get interactive graphs for connected entities!

🎈 App → share.streamlit.io/charlywargnier…
📰 Post → charlywargnier.com/post/introduci…
🐙 GH → github.com/CharlyWargnier…
5. BERT Keyword Extractor

Quickly generate keywords & key phrases by leveraging @huggingface Transformers & various #BERT embeddings!

🎈 App →
share.streamlit.io/charlywargnier…
📰 Post → charlywargnier.com/post/introduci…
⚡ Powered by @MaartenGr's KeyBERT & @huggingface Transformers Image
6. Keyword to URL Mapper

Automatically map your keywords/internal search terms to your crawled URLs from a @screamingfrog crawl! 🐸

Released as part of my @brightonseo talk in March 2021.

🎈 App → share.streamlit.io/charlywargnier…
🐙 GH → github.com/CharlyWargnier… Image
7. StreamBack Machine

Leverage the power of @waybackmachine's API to bulk-retrieve the oldest, newest & custom-dated versions of archived URLs!

🎈 App → streambackmachine.herokuapp.com
📰 Post → charlywargnier.com/post/streambac…
As a bonus, I've also added the 3 @streamlit apps I created at the end of last year! 😊

Here they are! ↓🧵
8. StreamEA Entity Analyser

Extract and analyse entities at scale via the Google Natural Language API, directly from web pages!

🎈 App → streamea-entity-analyzer.herokuapp.com
📰 Post → charlywargnier.com/post/streamea-…
⚡ Powered by @googlecloud's Natural Language API
9. StreamSuggest

✓ Bulk retrieve auto-complete suggestions from Google & Bing!
✓ Visualise all in a tree or tabular form
✓ Export results to CSV

🎈 App → streamsuggest.herokuapp.com
📰 Post → charlywargnier.com/post/streamsug…
⚡ Powered by Google Suggest API & Bing Suggest API
10. HTTP Code Checker

A code checker built in #Python & released as part of my @RankSense webinar w. RIP @hamletbatista ❤️

✓ Get status codes
✓ Get redirects
✓ Export them all!

🎈 App → share.streamlit.io/charlywargnier…
📰 Post → ranksense.com/how-to-build-a…
⚡ Powered by @ApacheECharts Image
Lastly, huge thanks and shootouts to the folks who always support and inspire me! Sorry if I missed you! :)

@aleyda
@andfanilo
@ankur0209
@antoineripret
@areej_abuali
@bertiecharlton
@ChouinardJC
@cyberandy
@darth_na
@digitalquokka
@dsottimano
@fighto
Cos' shootouts couldn't all fit in two tweets!

@jlhernando
@natzir9
@d4ni_s
@thedataprof
@tuf
@tylerjrichards
@VincentTerrasi
@zchtodd

I wish the best to everyone in 2022! 🎉

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More from @DataChaz

Feb 7
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Covering Projects, Excel workflows, browsing in Chrome, file editing, app integrations, task automation, and more!

Zero tech background required, so anyone can learn practical AI free and fast. 🧵↓ Image
1/ First things first, did you know you can create and edit files directly with Claude?

Draft documents, iterate on content, and keep everything in one place.
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Summaries, explanations, and quick insights as you move across pages.
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@steipete’s GitHub profile: Image
When you look at @steipete's previous projects, Clawdbot (now @moltbot btw!) is basically a wrapper that ties all of them together.

It finally clicks.

Everything finally came together.
@steipete @moltbot Screenshot courtesy of my friend @Saboo_Shubham on LinkedIn, as I couldn’t find that GitHub repo myself :)
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ClawdBot is blowing up on X.

Everyone’s sharing great experiments, automations, even jokes!

I pulled together the 15 most interesting posts right now 🧵↓ Image
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The AWS Free Tier setup everyone’s retweeting.

by @techfrenAJ

2/

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NVIDIA just removed one of the biggest friction points in Voice AI.

PersonaPlex-7B is an open-source, full-duplex conversational model.

Free, open source (MIT), with open model weights on @huggingface 🤗

Links to repo and weights in 🧵↓

The traditional ASR → LLM → TTS pipeline forces rigid turn-taking.
It’s efficient, but it never feels natural.

PersonaPlex-7B changes that.

This @nvidia model can listen and speak at the same time.

It runs directly on continuous audio tokens with a dual-stream transformer, generating text and audio in parallel instead of passing control between components.

That unlocks:
→ instant back-channel responses
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Persona control is fully zero-shot!

If you’re building low-latency assistants or support agents, this is a big step forward 🔥
1/ Link to the repo:
github.com/NVIDIA/persona…
2/ The model weights are available on @huggingface here:
huggingface.co/nvidia/persona…
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Jan 12
Wow, such a great open-source drop!

Put Claude on steroids with 120+ scientific skills spanning maths, biology, chemistry, medicine, engineering, & more 🤯

If you’ve ever wanted Claude to act like a research assistant, this gets very close.

Free and open source.

Repo in 🧵↓ Image
Here is the link to the repo:
github.com/K-Dense-AI/cla…Image
♻️ If this sparked an idea, hit repost so others can catch it too!

Follow me → @datachaz for daily drops on LLMs, agents, and data workflows! 🦾
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Dec 29, 2025
MIT and Oxford released their $2,500 agentic AI curriculum on GitHub at no cost.

15,000 people already paid for it.

Now it's on GitHub!

It covers patterns, orchestration, memory, coordination, and deployment.
A strong roadmap to production ready systems.

Repo in 🧵 ↓ Image
10 chapters:

Part 1. What agents are and how they differ from plain generative AI.
Part 2. The four agent types and when to use each.
Part 3. How tools work and how to build them.
Part 4. RAG vs agentic RAG and key patterns.
Part 5. What MCP is and why it matters.
Part 6. How agents plan with reasoning models.
Part 7. Memory systems and architecture choices.
Part 8. Multi agent coordination and scaling.
Part 9. Real world production case studies.
Part 10. Industry trends and what is coming next.
Here's the repo:
github.com/aishwaryanr/aw…Image
Read 4 tweets

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