Podimo

Partnership with STX Next

Ongoing since November 2022

Founded in Copenhagen in 2019, Podimo is a platform for podcast and audiobook lovers as well as audio content creators. Their app puts a world of podcasts and audiobooks at your fingertips. Their revenue-sharing model rewards creators for making content that people want to hear – whether they have an established following or a niche audience.
INDUSTRY
Media and Entertainment
COUNTRY
Denmark
1000+
Exclusive Shows
70.000+
Audiobooks

Project details

STX Next specialists were working together with Podimo onsite team to create an application that will allow users to listen and upload the podcasts and audiobooks. The app shares members’ subscription fees between the creators of the audio material so there would be a direct connection between a customer and a creator. Currently we are working on the bugfixing, feature updates and maintenance as the application is already live and working for the good of the customers.

Podimo: A revenue-sharing app for audio lovers and content creators
STX Next Delivered
Team Extension
Team Extension
Backend Development
Backend Development
Continuous Integration
Continuous Integration
Data Engineering
Data Engineering
Deployment
Deployment
Machine Learning
Machine Learning
Manual Testing
Manual Testing
Performance Optimization
Performance Optimization
QA + Integration Testing
QA + Integration Testing

Challenge

Podimo's Elasticsearch system delivered search results that weren't always relevant. Despite possessing rich information about user preferences, they struggled to consistently prioritize the most popular shows in search responses.

Solution

STX Next first scrutinized and optimized Podimo's existing Elasticsearch settings, refining mappings and analyzers. We then implemented a Learning To Rank machine learning model to reposition search results, placing those with higher historical user preferences at the top. Additionally, semantic search capabilities using BERT were integrated, enabling users to search using natural language and get more pertinent results. We're now in the process of adding a conversational search feature, primarily leveraging OpenAI's ChatGPT, allowing users to interact with a chatbot for their queries.
Vue.js
Vue.js
Elasticsearch
Elasticsearch
PyTorch
PyTorch
Sentence-Transformer
Sentence-Transformer
huggingface
huggingface
Kibana
Kibana
NumPy
NumPy
LangChain
LangChain
Google Cloud Platform
Google Cloud Platform
BigQuery
BigQuery
OpenAI
OpenAI
Seaborn
Seaborn
Matplotlib
Matplotlib
XGBoost
XGBoost

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