GitHub - abibatoki/Large-Language-Models: Large language models offer new opportunities for processing and generating text. I used text embeddings, clustering, and the ChatGPT API to examine the reasons for startup failure.

Dataset

CB Insights, 463 startup failure post-mortems from Aug 23, 2023

I used the failure post-mortems for the 118 startups between 2021 and 2023. See the attached stories.csv file

#Prompt to extract failure reasons

Extract the failure reasons from this start-up shutdown. Each reason should be five words or less.

#Response from the Streamlit application

#Dataframe showing the failure stories in the dataset

#Labels of the five largest clusters

The labeling was done based on the most prominent reason for failure common to the companies in each cluster.

Cluster 2: Financial Struggles

Cluster 6: Capital Drought

Cluster 19: Capital Struggle

Cluster 0: Strategic Adaptation Challenges

Cluster 3: Biotech Challenge

#Failure reason common to each cluster is 'Lack of Funding'

#Top 5 reasons for startup failure

(i) Lack of funding

(ii) Investors not found

(iii) No product/market fit

(iv) No/wrong business model

(v) Political/economic/legal problem

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
Notes.txt		Notes.txt
README.md		README.md
clusters_and_reasons.py		clusters_and_reasons.py
elbow_and_cluster_plot.py		elbow_and_cluster_plot.py
failure_embeddings.csv		failure_embeddings.csv
failure_embeddings.py		failure_embeddings.py
failure_reasons.csv		failure_reasons.csv
failure_reasons.py		failure_reasons.py
failure_reasons_with_embeddings.py		failure_reasons_with_embeddings.py
failure_stories_dataframe.py		failure_stories_dataframe.py
placeholder_app.py		placeholder_app.py
reasons and embeddings.csv		reasons and embeddings.csv
st.chat_input_interface.py		st.chat_input_interface.py
statistical_summary.py		statistical_summary.py
stories.csv		stories.csv
streamlit_app.py		streamlit_app.py
vector_database.csv		vector_database.csv
vector_database.py		vector_database.py

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