diff --git a/.gitignore b/.gitignore
index 41c1a66..5d9a769 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,12 +1,5 @@
 .env
 .vscode
-# python virtual environment
-venv
 
 # go executable
 hnbot
-hnbot.sqlite3
-
-*.csv
-*.png
-
diff --git a/hacker_news.csv.sql b/hacker_news.csv.sql
deleted file mode 100644
index 81ddbef..0000000
--- a/hacker_news.csv.sql
+++ /dev/null
@@ -1,11 +0,0 @@
-.headers on
-.mode csv
-.output hacker_news.csv
-SELECT hn.id, hn.created_at, hn.time, hn.title, hn.url, hn.author, hn.ndescendants, hn.score, hn.rank
-FROM (
-	SELECT id, MAX(created_at) AS created_at FROM hn_items
-	WHERE rank = 1 AND length(title) >= 5
-	GROUP BY id
-	ORDER BY time ASC
-) t JOIN hn_items hn ON t.id = hn.id
-ORDER BY hn.id, hn.created_at DESC;
diff --git a/hnbot.sqlite3 b/hnbot.sqlite3
new file mode 100644
index 0000000..b3f103f
Binary files /dev/null and b/hnbot.sqlite3 differ
diff --git a/plot.py b/plot.py
deleted file mode 100644
index 4a5f3ca..0000000
--- a/plot.py
+++ /dev/null
@@ -1,63 +0,0 @@
-#!/usr/bin/env python3
-
-import pandas as pd
-import matplotlib.pyplot as plt
-import matplotlib.dates as mdates
-from datetime import timedelta, datetime
-
-# this script loads data from a csv file
-# with headers id, created_at, time, title, url, author, ndescendants, score, rank
-# and then saves a plot with score, ndescendants and rank for each id
-
-# load data from csv file
-df = pd.read_csv('hacker_news.csv', index_col='created_at')
-
-# group pandas dataframe by id
-grouped = df.groupby(['id'])
-
-# create one chart per id and plot score, ndescendants and rank in each chart
-for [hn_id], group in grouped:
-    # sort group by created_at ascending
-    group = group.sort_values(by='created_at', ascending=True)
-
-    # this is the time when the item was created on HN
-    item_created_at = datetime.utcfromtimestamp(group['time'].values[0])
-
-    # use relative time for x axis
-    def date_to_relative(d1):
-        date_fmt = '%Y-%m-%d %H:%M:%S'
-        current = datetime.strptime(d1, date_fmt)
-        return (current - item_created_at) / timedelta(hours=1)
-
-    group.index = group.index.map(date_to_relative)
-
-    # title generation
-    hn_item_title = group['title'].values[0]
-    hn_item_url = group['url'].values[0]
-    hn_item_link = f'https://news.ycombinator.com/item?id={hn_id}'
-    plot_title = f'{hn_item_title}\n{hn_item_url}\n{hn_item_link}'
-
-    fig, ax1 = plt.subplots(figsize=(10, 5))
-
-    ax1.set_title(plot_title)
-    ax1.set_xlabel('hours')
-    ax1.set_ylabel('score, comments')
-    ax1.plot(group['score'], label='score', color='blue')
-    ax1.plot(group['ndescendants'], label='comments', color='orange')
-    ax1.legend()
-
-    # show every 50th date
-    # TODO: do something more clever here
-    plt.xticks(group.index[::50], rotation=45)
-
-    ax2 = ax1.twinx()
-    ax2.set_ylabel('rank')
-    ax2.set_ylim(1, 30)
-    ax2.plot(group['rank'], label='rank', color='green')
-    ax2.legend(loc='upper right')
-
-    plt.tight_layout()
-    plt.savefig(f'hn_{hn_id}.png')
-    plt.close()
-
-    print(f'Saved hn_{hn_id}.png')