PH Deck

Users struggle with manual data entry, complex data enrichment, and lack efficient ways to conduct research or validate information directly in spreadsheets. These processes can be slow, error-prone, and inefficient, hindering productivity and decision-making.

Users need to extract information from multiple PDFs in Google Sheets

Manually converting Google Sheets data into PDFs or Google Docs is time-consuming and tedious

Users struggle with traditional market research methods that lack real-time insights and global perspectives.

Users need to extract data from websites manually, which is tedious and time-consuming.

Users struggle to write content efficiently within Google Docs, facing issues like writer's block and time consumption.

Users often struggle with managing messy data in Google Sheets, which includes issues like data inaccuracies, inefficiencies in data mapping, and burdensome manual processes for data cleaning and validation.

Users currently struggle with spreadsheets by manually performing tasks such as data analysis and language translation. This is time-consuming and prone to errors, especially when dealing with large amounts of data.

Users face challenges like manually editing spreadsheets, leading to inefficiencies and inaccuracies.

Startups struggle to efficiently find leads, contact information, and perform web research without manual effort, which can be time-consuming and error-prone. The inefficiency and potential for errors in manual lead generation and email outreach are significant drawbacks.

The current situation for users involves manually using disparate web scraping tools, which can be inefficient and time-consuming. The drawbacks of this old situation include the need to identify, learn, and manage multiple tools, and potential lack of expertise in finding the right tools.