
AI Deal Analyzer - ABN Negotiation Framework
Paste your B2B deal scenario and get a full negotiation analysis in 90 seconds. Power dynamics, tactics, anchoring strategy, and more.
@eCommKen · X
My AI negotiations brain and deal analyzer:
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Paste your B2B deal scenario and get a full negotiation analysis in 90 seconds. Power dynamics, tactics, anchoring strategy, and more.
@eCommKen · X
My AI negotiations brain and deal analyzer:

Partagez vos documents confidentiels, pilotez les accès et suivez l’engagement de vos interlocuteurs avec Seend.
@wtAngat · X

Get AI-powered salary benchmarking and negotiation coaching.
@mukundt · X

Submit your product to compete on a live bid-based leaderboard where rankings are decided by Stripe payments.
marcushuang4595 · V2EX
[跟风作品] 最近竞价排行榜挺火,我也做了一个,看看能有什么效果 最近看到 Outbid 、WinBid 这类“付费竞价决定排名”的网站,觉得模式挺有意思。 规则简单直接,开发量看起来也可控,所以我跟风做了一个自己的版本: https://bidfight.lol 项目叫 BidFight ,玩法没刻意包装: - 提交产品、网站或个人项目,最低 $1 上榜 - 排名按照 Stripe 实际确认的累计付款金额决定 - 已上榜项目想提高排名,只支付目标金额与当前金额的差额 - 金额相同时,先达到该金额的排在前面 - 点击项目后会先统计次数,再跳转到目标网站 - 榜单、付款金额和点击数据都是真实的,不填充假项目 技术上用了 Vite 、Cloudflare Workers 、D1 和 Stripe 。 目前只有 1 个项目和 $1 的竞价,算是刚把完整流程跑通。这个模式是不是能带来流量、会不会有人愿意付费、榜单最后会变成什么样,我自己也不知道。 发出来主要就是想看看它最终能产生什么效果。 我比较想验证几个问题: 1. 大家会不会

Upload contracts for instant AI-powered risk analysis or generate tech agreements.
@BayofDomain · X

outbids.lol — the live board where your bid decides your rank.
@naxisty · X

AI job search assistant with voice mock interviews, resume tailoring, and salary negotiation.
@FourLeaf_AI · X

Deploy AI agents trained on your docs to automate customer support and sales conversations.
@iietmoon · X
Need sales x3 here is conversational AI Agent

Send your question to a panel of LLMs that peer-review each other and return one synthesized answer.
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree