Spoke.ai vs Typeset

In the battle of Spoke.ai vs Typeset, which AI Summarizer tool comes out on top? We compare reviews, pricing, alternatives, upvotes, features, and more.

Which one is better? Spoke.ai or Typeset?

Upon comparing Spoke.ai with Typeset, which are both AI-powered summarizer tools, Typeset is the clear winner in terms of upvotes. Typeset has 25 upvotes, and Spoke.ai has 6 upvotes.

Feeling rebellious? Cast your vote and shake things up!

Spoke.ai

Spoke.ai

What is Spoke.ai?

Spoke.ai lets you create instant context through AI-summarization directly within Slack. -> Summarize across all the messages in a Slack thread to give you context that you need. -> Share thread summaries to help your teammates save time and focus on the key outcomes. -> Store your summarized threads so you can refer back to them at a later date to check outcomes, and their makers.

Typeset

Typeset

What is Typeset?

Your platform to explore and explain papers. Search for 270M+ papers, understand them in simple language, and find connected papers, authors, topics.

Spoke.ai Upvotes

6

Typeset Upvotes

25🏆

Spoke.ai Category

    Summarizer

Typeset Category

    Summarizer

Spoke.ai Pricing Type

    Freemium

Typeset Pricing Type

    Free

Spoke.ai Technologies Used

Slack
Webflow

Typeset Technologies Used

Amazon Web Services
jQuery
Bootstrap

Spoke.ai Tags

Content Summary

Typeset Tags

Content Summary
AI Whitepapers
AI Emails

Spoke.ai Average Rating

No rating available

Typeset Average Rating

4.00

Spoke.ai Reviews

No reviews available

Typeset Reviews

Sara Sara
The simulation model validated experimental J-V and external quantum efficiency (EQE) to demonstrate an improvement in perovskite (PSK) solar cell (PSC) efficiency. The effect of interface properties at the electron transport layer (ETL)/PSK and PSK/hole transport layer (HTL) was investigated using the Solar Cell Capacitance Simulator (SCAPS). The interfaces between ETL, PSK, and HTL were identified as critical factors in determining high open-circuit voltage (Voc) and FF. In this study, the impact of two types of interfaces, ETL/PSK and PSK/HTL, were investigated. Lowering the defect density at both interfaces to 102 cm−2 reduced interface recombination and increased Voc and FF.The absorber layer defect density and n/i interface of perovskite solar cells were investigated using the Solar Cell Capacitance Simulator-1D (SCAPS-1D) at various cell thicknesses. The planar p-i-n structure was defined as PEDOT:PSS/Perovskite/CdS, and its performance was calculated. With a defect density of <1014 cm−3 and an absorber layer thickness of >400 nm, power conversion efficiency can exceed 25%. The study assumed a 0.6 eV Gaussian defect energy level beneath the perovskite's conduction band, which has a characteristic energy of 0.1 eV. These conditions produced the same result on the n/i interface. These findings place constraints on numerical simulations of the correlation between defect mechanism and performance
By Rishit