Sayso P on Signing to Sauce Walka, Growing Up in Memphis, Street Racing & More
Sayso talks about hs upbringing, early days, making music, getting a fanbase overseas, signing to Sauce Walka and more.
-----
00:00 Intro
0:05 Sayso tells us how he came up with his name and calling himself “Peso” at first
0:45 Coming out of Memphis in low poverty areas and recording since he was 11 years old
3:00 Being your own biggest critic, pushing positivity, being signed to Sauce Walka
6:05 Sayso tells us how he met Sauce Walka through street racing and keeping it 100
7:53 Having a friendship with Sauce Walka before he got signed
8:08 Sayso says he wants to work with No Cap, Ralo, NBA YoungBoy..
11:28 Turning down money from labels and artists and getting features organically
12:08 Garnering fans overseas and having too many critics here in America
15:23 Comparing live performance money to streaming money in music and waiting for your moment
20:03 Sayso talks about his new project says there is no skips
22:13 Sayso tells us he would need 100 million dollars to leave Sauce Walka label because he’s so loyal
24:13 Sharp and Sayso talk about the pros and cons of living in Miami
-----
NO JUMPER PATREON
http://www.patreon.com/nojumper
CHECK OUT OUR NEW SPOTIFY PLAYLIST
https://open.spotify.com/playlist/5te...
FOLLOW US ON SNAPCHAT FOR THE LATEST NEWS & UPDATES
https://www.snapchat.com/discover/No_...
CHECK OUT OUR ONLINE STORE!!! http://www.nojumper.com/
SUBSCRIBE for new interviews (and more) weekly: http://bit.ly/nastymondayz
Follow us on SPOTIFY: https://open.spotify.com/show/4ENxb4B...
iTunes: https://itunes.apple.com/us/podcast/n...
Follow us on Social Media:
https://www.snapchat.com/discover/No_...
http://www.twitter.com/nojumper
http://www.instagram.com/nojumper
https://www.facebook.com/NOJUMPEROFFI...
http://www.reddit.com/r/nojumper
JOIN THE DISCORD: https://discord.gg/Q3XPfBm
Follow Adam22:
https://www.tiktok.com/@adam22
http://www.instagram.com/adam22
adam22hoe on Snapchat
Learn more about your ad choices. Visit megaphone.fm/adchoices
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.