diff --git a/README.md b/README.md
index 7016efc..b619214 100644
--- a/README.md
+++ b/README.md
@@ -7,8 +7,8 @@
 The home baked data pipeline for **Western Formula Racing**.
 
 This package handles:
-1. **Data Ingestion:** Reliable fetching from InfluxDB 3.0 in wide (columnar) or narrow (legacy EAV) format.
-2. **Data Writing:** `WideWriter` encodes CAN frames directly to InfluxDB wide format line protocol.
+1. **Data Ingestion:** Reliable fetching from TimescaleDB 3.0 in wide (columnar) or narrow (legacy EAV) format.
+2. **Data Writing:** `WideWriter` encodes CAN frames directly to TimescaleDB wide format line protocol.
 3. **Movement Detection:** Smart filtering of "Moving" vs "Idle" car states.
 4. **Sensor Discovery:** Tools to explore available sensors on any given race day.
 
@@ -34,7 +34,7 @@ import slicks
 from datetime import datetime
 
 # 1. Connect (auto-configured from env vars or explicit)
-slicks.connect_influxdb3(db="WFR26")
+slicks.connect_timescaledb(table="WFR26")
 
 # 2. Fetch Data — wide format (columnar, preferred)
 df = slicks.fetch_telemetry(
diff --git a/docs/advanced_usage.md b/docs/advanced_usage.md
index a8b0ffe..fd9d4e0 100644
--- a/docs/advanced_usage.md
+++ b/docs/advanced_usage.md
@@ -42,17 +42,17 @@ You often need to switch between `Development`, `Testing`, and `Production` data
 ### Option A: Environment Variables (Best for CI/CD)
 Set these in your shell or `.env` file before running python:
 ```bash
-export INFLUX_URL="http://production-server:8086"
-export INFLUX_DB="Season2026_Final"
+export POSTGRES_DSN="http://production-server:8086"
+export POSTGRES_TABLE="Season2026_Final"
 ```
 
 ### Option B: Runtime Configuration (Best for Scripts/Notebooks)
 ```python
 import slicks
 
-slicks.connect_influxdb3(
-    url="http://192.168.1.50:9000",
-    db="DynoTest_Day1"
+slicks.connect_timescaledb(
+    dsn="http://192.168.1.50:9000",
+    table="DynoTest_Day1"
 )
 ```
 
@@ -74,8 +74,8 @@ If you're ingesting raw CAN bus data (e.g., from a replay script or live logger)
 from slicks import WideWriter
 
 writer = WideWriter(
-    url="http://localhost:8086",
-    token="my-token",
+    dsn="http://localhost:8086",
+    "my-token",
     bucket="WFR26",
     measurement="WFR26",
     dbc_path="path/to/WFR26.dbc",
diff --git a/docs/api_reference.md b/docs/api_reference.md
index 8e9e937..2cb8a32 100644
--- a/docs/api_reference.md
+++ b/docs/api_reference.md
@@ -4,14 +4,14 @@ This document details the functions available in the `slicks` package.
 
 ## Core Functions
 
-### `slicks.connect_influxdb3`
+### `slicks.connect_timescaledb`
 
-Updates the global InfluxDB connection settings dynamically.
+Updates the global TimescaleDB connection settings dynamically.
 
 ```python
-slicks.connect_influxdb3(url=None, token=None, org=None, db=None)
+slicks.connect_timescaledb(dsn=None, None, org=None, table=None)
 ```
-- **url** *(str)*: The InfluxDB host URL (e.g., `"http://localhost:8086"`).
+- **url** *(str)*: The TimescaleDB host URL (e.g., `"http://localhost:8086"`).
 - **token** *(str)*: Authentication token.
 - **org** *(str)*: Organization name (default: `"Docs"`).
 - **db** *(str)*: Database/Bucket name (default: `"WFR25"`).
@@ -30,7 +30,7 @@ slicks.fetch_telemetry(start_time, end_time, signals=None, client=None,
 - **start_time** *(datetime)*: Start of the query range.
 - **end_time** *(datetime)*: End of the query range.
 - **signals** *(str or list[str])*: A single sensor name or a list of sensor names to fetch. Defaults to standard configuration if `None`.
-- **client** *(InfluxDBClient3, optional)*: An existing client instance (advanced use).
+- **client** *(TimescaleDBClient3, optional)*: An existing client instance (advanced use).
 - **filter_movement** *(bool)*: If `True` (default), strips out rows where the car is stationary.
 - **resample** *(str or None)*: Pandas frequency string for resampling (e.g. `"1s"`, `"100ms"`). Pass `None` for raw data.
 - **schema** *(str)*: `"wide"` (default, columnar — each signal is a column) or `"narrow"` (legacy EAV — requires pivot).
@@ -105,13 +105,13 @@ slicks.detect_movement_ratio(df, speed_column="INV_Motor_Speed")
 
 ### `slicks.WideWriter`
 
-Encodes CAN frames to InfluxDB wide format line protocol and writes them in batches.
+Encodes CAN frames to TimescaleDB wide format line protocol and writes them in batches.
 
 ```python
 from slicks import WideWriter
 
 writer = WideWriter(
-    url,                    # InfluxDB URL
+    url,                    # TimescaleDB URL
     token,                  # Auth token
     bucket,                 # Bucket/database name (e.g. "WFR26")
     measurement,            # Measurement name (e.g. "WFR26")
@@ -154,7 +154,7 @@ frame = decode_frame(db, can_id, raw_bytes)  # → DecodedFrame or None
 
 ### `slicks.frame_to_line_protocol`
 
-Converts a `DecodedFrame` to an InfluxDB line protocol string.
+Converts a `DecodedFrame` to an TimescaleDB line protocol string.
 
 ```python
 from slicks import frame_to_line_protocol
diff --git a/docs/getting_started.md b/docs/getting_started.md
index f465257..fc0b423 100644
--- a/docs/getting_started.md
+++ b/docs/getting_started.md
@@ -27,18 +27,18 @@ pip install -e .
 Here is the minimal code needed to connect to the database and download data for a specific sensor.
 
 ### Step 1: Import and Configure
-The package connects to the InfluxDB database automatically using defaults, but you can configure it explicitly.
+The package connects to the TimescaleDB database automatically using defaults, but you can configure it explicitly.
 
 ```python
 import slicks
 from datetime import datetime
 
 # Optional: Configure manually (or use .env file / defaults)
-slicks.connect_influxdb3(
-    url="http://your-influx-server:8086",
-    token="your-token-here", # Ask Data Lead for your token
+slicks.connect_timescaledb(
+    dsn="http://your-postgres-server:8086",
+    "your-token-here", # Ask Data Lead for your token
     org="Docs",
-    db="WFR25"
+    table="WFR25"
 )
 ```
 
diff --git a/docs/index.md b/docs/index.md
index 47f9ffb..e223953 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -4,7 +4,7 @@ The home baked data pipeline for **Western Formula Racing**.
 
 This package handles:
 
-1. **Data Ingestion:** Reliable fetching from InfluxDB 3.0.
+1. **Data Ingestion:** Reliable fetching from TimescaleDB 3.0.
 
 2. **Movement Detection:** Smart filtering of "Moving" vs "Idle" car states.
 
@@ -29,7 +29,7 @@ import slicks
 from datetime import datetime
 
 # 1. Connect (Auto-configured or custom)
-slicks.connect_influxdb3(db="WFR25", influx_url="http://influxdb:9000", influx_token="apiv3_your_token")
+slicks.connect_timescaledb(table="WFR25", dsn="http://postgresdb:9000", "apiv3_your_token")
 
 # 2. Fetch Data (One-liner)
 df = slicks.fetch_telemetry(
diff --git a/docs/scanner.md b/docs/scanner.md
index dd2e887..49b4bc9 100644
--- a/docs/scanner.md
+++ b/docs/scanner.md
@@ -9,10 +9,10 @@ import slicks
 from datetime import datetime
 
 # Configure connection first
-slicks.connect_influxdb3(
-    url="http://your-server:9000",
-    token="your-token",
-    db="WFR25"
+slicks.connect_timescaledb(
+    dsn="http://your-server:9000",
+    "your-token",
+    table="WFR25"
 )
 
 # Scan for data availability
@@ -73,7 +73,7 @@ slicks.scan_data_availability(
 | `start` | `datetime` | *required* | Start of scan range (UTC or timezone-aware) |
 | `end` | `datetime` | *required* | End of scan range |
 | `timezone` | `str` | `"UTC"` | Timezone for display (e.g., `"America/Toronto"`) |
-| `table` | `str` | `None` | Table to scan (defaults to `"iox.{INFLUX_DB}"`) |
+| `table` | `str` | `None` | Table to scan (defaults to `"iox.{POSTGRES_TABLE}"`) |
 | `bin_size` | `str` | `"hour"` | Granularity: `"hour"` or `"day"` |
 | `include_counts` | `bool` | `True` | Include row counts (slightly slower if `True`) |
 | `show_progress` | `bool` | `True` | Show progress bar during scan |
diff --git a/examples/end_to_end.py b/examples/end_to_end.py
index 1ec1c71..7679375 100644
--- a/examples/end_to_end.py
+++ b/examples/end_to_end.py
@@ -14,11 +14,11 @@ def main():
     # Configure connection. 
     # For CI, these are pulled from environment variables (GitHub Secrets).
     # For local use, you can set these in a .env file or call configure() directly.
-    slicks.connect_influxdb3(
-        url=os.getenv("INFLUX_URL"),
-        token=os.getenv("INFLUX_TOKEN"),
+    slicks.connect_timescaledb(
+        dsn=os.getenv("POSTGRES_DSN"),
+        os.getenv(""),
         org=os.getenv("INFLUX_ORG"),
-        db=os.getenv("INFLUX_DB")
+        table=os.getenv("POSTGRES_TABLE")
     )
 
     # ---------------------------------------------------------
diff --git a/pyproject.toml b/pyproject.toml
index 6cc19e9..0cca1d0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "slicks"
-version = "0.2.3"
+version = "0.3.0"
 description = "The home baked data pipeline for Western Formula Racing"
 readme = "README.md"
 authors = [