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Contenuto fornito da Sam Kamani. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Sam Kamani o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
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163: From Signals to Sales: How Blaze is Transforming Lead Generation with AI, a Conversation Lauren and Chirag, Co-founders of Blaze

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Manage episode 433809646 series 3012250
Contenuto fornito da Sam Kamani. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Sam Kamani o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In this episode of Web3 with Sam Kamani, we chat with Chirag and Lauren from Blaze App about their journey into Web3, crypto, and blockchain. They share how Blaze App leverages blockchain data to create personalized marketing campaigns and trading tools. We also discuss the challenges of analyzing on-chain data, the future of AI in trading, and the latest trends in the Web3 space. Whether you're a crypto trader or curious about blockchain innovation, this episode offers valuable insights. Tune in to stay ahead in the rapidly evolving world of Web3!

Discount Codes

Key Learnings with Timestamps

  • [00:01:44] Background: Lauren: from Goldman to Coinbase in 2017; Chirag: captivated by its abstract nature.

  • [00:04:20] Problem Blaze AI Solves: Issues with data usage and seeking to maximize it

  • [00:08:05] Automations: How Blaze helps with marketing using AI to create automations.

  • [00:10:01] Web2 vs Web3 Socials: Why Web3 social platforms don’t get as much traction as Web2

  • [00:15:15] Workflows: Using Blaze to create workflows

  • [00:18:09] Target Audience and Main Users: GameFi, DeFi, infrastructure layer, etc

  • [00:18:49] Differences from Other Products: how does blaze differentiate from other automation and workflow building platforms?

  • [00:21:07] Blaze AI and Dune Analytics: Are they similar?

  • [00:25:08] Handing Disclaimers: How they ensure they aren't seen as providing financial advice.

  • [00:26:37] Bloomberg terminals: Web3 companies making Bloomberg terminals?

  • [00:30:12] Possible Big Changes: ETF approval and other possible big developments in Web3

  • [00:34:11] Grass: A tool used to scrape through websites

  • [00:34:48] AI Trends: What does the future hold?

  • [00:39:09] Requests or Current Concerns: Whether funding, hiring, etc.

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.

Connect

https://www.linkedin.com/in/lauren-rothwell-8403b052

https://www.linkedin.com/in/chiragmahapatra/

https://www.linkedin.com/company/withblazeapp/

https://www.withblaze.app/

https://x.com/blaze_ai

https://x.com/_laurenrothwell

Be a guest on the podcast or contact us - https://www.web3pod.xyz/

  continue reading

193 episodi

Artwork
iconCondividi
 
Manage episode 433809646 series 3012250
Contenuto fornito da Sam Kamani. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da Sam Kamani o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.

In this episode of Web3 with Sam Kamani, we chat with Chirag and Lauren from Blaze App about their journey into Web3, crypto, and blockchain. They share how Blaze App leverages blockchain data to create personalized marketing campaigns and trading tools. We also discuss the challenges of analyzing on-chain data, the future of AI in trading, and the latest trends in the Web3 space. Whether you're a crypto trader or curious about blockchain innovation, this episode offers valuable insights. Tune in to stay ahead in the rapidly evolving world of Web3!

Discount Codes

Key Learnings with Timestamps

  • [00:01:44] Background: Lauren: from Goldman to Coinbase in 2017; Chirag: captivated by its abstract nature.

  • [00:04:20] Problem Blaze AI Solves: Issues with data usage and seeking to maximize it

  • [00:08:05] Automations: How Blaze helps with marketing using AI to create automations.

  • [00:10:01] Web2 vs Web3 Socials: Why Web3 social platforms don’t get as much traction as Web2

  • [00:15:15] Workflows: Using Blaze to create workflows

  • [00:18:09] Target Audience and Main Users: GameFi, DeFi, infrastructure layer, etc

  • [00:18:49] Differences from Other Products: how does blaze differentiate from other automation and workflow building platforms?

  • [00:21:07] Blaze AI and Dune Analytics: Are they similar?

  • [00:25:08] Handing Disclaimers: How they ensure they aren't seen as providing financial advice.

  • [00:26:37] Bloomberg terminals: Web3 companies making Bloomberg terminals?

  • [00:30:12] Possible Big Changes: ETF approval and other possible big developments in Web3

  • [00:34:11] Grass: A tool used to scrape through websites

  • [00:34:48] AI Trends: What does the future hold?

  • [00:39:09] Requests or Current Concerns: Whether funding, hiring, etc.

Disclaimer

Nothing mentioned in this podcast is investment advice and please do your own research. Finally, it would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend.

Connect

https://www.linkedin.com/in/lauren-rothwell-8403b052

https://www.linkedin.com/in/chiragmahapatra/

https://www.linkedin.com/company/withblazeapp/

https://www.withblaze.app/

https://x.com/blaze_ai

https://x.com/_laurenrothwell

Be a guest on the podcast or contact us - https://www.web3pod.xyz/

  continue reading

193 episodi

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