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Restaurants are closing but the ones that switch to takeout and delivery won’t go out of business. Having a Messenger bot will be a real game-changer for restaurants, bars, pizzerias or grocery stores in today’s circumstances.

But sometimes, managing bot content is not as easy as it looks, especially if content changes frequently, e.g. restaurant or pizzeria menu. And adding, removing or changing menu items every day, manually, can be time-consuming. Using a ManyChat bot with Botsheets will make content management much easier.

Let’s do it with the pizza ordering and delivery bot template and set it all up in your ManyChat. The template dynamically generates items using data and pictures added/changed in Google Sheets.

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Step 1.

Get this Google Sheets template and make a copy so you can edit it for personal purposes. This 👇 short videocast may help.

Step 2.

Paste the link of your Google Sheets template into your ManyChat bot.

👉 Manychat/Settings/Custom Fields/Bot Fields/PizzaDelivery_Sheet_URL

Step 3.

Get a Botsheets key and paste it into the Bot_Sheets_Key field. You’ll need to generate your free key using Botsheets Facebook Messenger chatbot.

Step 4.

Set up the native Google Sheets integration and connect your account.

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Now is the time to check out the connection between ManyChat and Google Sheets template.

Step 5.

Find the flow under the number 3 – ‘Vegetarian pizza’ flow and click ‘Edit’ at one of them. In the dynamic content block, you’ll need to have values as on screenshots below ⤵️

and add Full Subscriber Data in the ‘Body’ tab.

When it is done you can test your request by clicking on ‘Test the request’ button. If everything is done correctly you will get a response like that 👇👇

Step 6.

Repeat Step 5 with the ‘Non-Vegetarian pizza’ flow:

Step 7. Almost Done!

Now the only thing is left 🚀 – customize your Google Sheets template and adapt menu items for your pizzeria, bar, restaurant…

• Column ‘active’ is responsible to make a current item active or not active
• Column ‘title’ is an item of your menu in a ManyChat gallery
• Column ‘subtitle’ is an item description
• Column ‘image’ is a picture of an appropriate item

• Columns ‘addButton1’, ‘addButton2’, ‘addButton3’ connect 3 buttons to each card of the gallery
• Columns ‘button1Caption’, ‘button2Caption’, ‘button3Caption’ display button titles

• Columns ‘button1Target’, ‘button2Target’, ‘button3Target’ link to a specific ManyChat flow. You can get a flow ID in your Manychat dashboard by navigating to the specific flow and then viewing the URL.

Here is an example:

• Columns ‘button1Action’, ‘button2Action’, ‘button3Action’ set up custom field values. Choose ‘set_field_value’ and add it twice, separated by commas. These will save values for ‘button1ActionName’, ‘button2ActionName’, ‘button3ActionName’ custom fields.

• Columns ‘button1ActionName’, ‘button2ActionName’, ‘button3ActionName’ set the values for custom fields Pizza, Pizza price, Pizza size when clicking on the appropriate button in the gallery.

• Columns ‘button1ActionValue’, ‘button2ActionValue’, ‘button3ActionValue’ are the actual values for these custom fields.

💡 Example: When clicking on Pepperoni mid-size pizza for $15.99, the ‘button2ActionValue’ – Pepperoni, mid-size, 15.99 will set up values for Pizza, Pizza size, Pizza price custom fields for the ‘button2ActionName’ column and send data back to the ManyChat.

Also, you can get more information on how Botsheets works here.

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❗ Please note, if you rename sheets, you will need to add an appropriate title to the ‘sheetName’ key.

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All these customizations you will only need to check once, after installing and connecting the template. 🔄 Then you just activate or deactivate items available on today’s menu and change the price if necessary.

The information is updated on your ManyChat bot real-time!

The new year is around the corner, and our Airchat team can’t leave you without a gift. We know you’ve been waiting for it — the possibility to add condition flows which make user interaction with your chatbot more variable and personalized. And you’re good to go with this superb feature right now!

Condition Flows for Boosted Personalization

If earlier you’ve sent all of your users to the common blocks, today, you can easily set required conditions that separate and redirect them according to their attributes or location.

The system checks whether a person matches the specified parameters (e.g., gender, country, the performance of a target action, type of business, etc.) and moves him/her to the appropriate flow. In case no condition is matched, another block is applied.

How to Use Condition Flows Efficiently

Condition flows allow you to segment the audience into several groups and present them with different proposals, messages, CTAs.

For example, by setting the condition with the attribute ‘user status is equal to lead,’ you ensure that your current leads won’t see the lead generation form when interacting with the bot.

Another case is specifying the concrete locations that you want to cover or, vice versa, avoid. Let’s say the Netherlands is your target country. If you set a condition ‘Netherlands,’ the bot will check whether a user is (or isn’t) from there and apply the block with a conversion form explicitly designed for this area.

With this condition, you can also impose restrictions on some locations that you don’t want to deal with. When the bot detects that the user is out of your location focus, it will start the appropriate, most likely ‘farewell’ flow.

Transforming User Engagement with Advanced Condition Flows

Condition flows revolutionize how your chatbot interacts with users, creating dynamic conversations that feel natural and personalized. By implementing strategic condition flows, you can achieve remarkable improvements in user engagement and conversion rates.

Dynamic Response Patterns

Create sophisticated conversation branches that adapt based on user behavior:

• Previous purchase history triggers personalized product recommendations
• Chat duration influences the depth of information provided
• Time zone differences automatically adjust message timing and content
• User interaction frequency determines follow-up message intensity

Enhanced User Experience

Transform standard chatbot interactions into meaningful conversations:

• Welcome returning customers with their preferred products or services
• Adjust language complexity based on user expertise level
• Offer region-specific promotions and deals
• Customize support options based on subscription tier

Engagement Optimization

Leverage condition flows to maximize user interaction:

• Create urgency with time-sensitive offers for specific user segments
• Deploy personalized re-engagement sequences for inactive users
• Tailor product demonstrations to industry-specific use cases
• Generate custom feedback loops based on user satisfaction levels

Business Intelligence

Harness condition flows to gather valuable insights:

• Track user preference patterns across different segments
• Identify high-performing conversation paths
• Monitor conversion rates for specific user attributes
• Analyze engagement patterns across different geographic regions

Implementing these advanced condition flows creates a sophisticated chatbot experience that keeps users engaged while delivering measurable business results.

Implementation of the Condition Flow, Step-by-Step

Everything is much easier than you might think.

Step 1. First off, go to your admin panel and define the block where you need to make a segmented redirect from. Click on the ‘+’ button in the top right corner and choose ‘Conditions.’

Step 2. You have two formats of the conditions available: ‘User Field’ and ‘Location.’ Thus, you can set a parameter based on your existing user fields or geography. Select the required option.

Step 3. Think about the attribute and input, which will serve as a conditional factor. For instance, you need to separate e-commerce businesses from other industries to show them another promotional message. For this, set a condition ‘Type of business’ — ‘contains’ — ‘E-commerce.’

You can add more than one condition to segment users as precise as possible, by clicking on ‘+Another condition.’

Step 4. Choose the blocks that users will be redirected to in case of a match or mismatch. Let’s continue with an example of e-commerce businesses. The bot will check whether a person is saved in your user fields base under ‘e-commerce’ and move him/her to the specified block. Otherwise, another block will appear.

The same algorithm works in case of setting a condition by location, but instead of the ‘User field,’ you should select ‘Location.’

As you can see, dealing with conditions is as simple as adding a new text block while the areas of their application are genuinely unlimited.

Stay tuned with our further advancements on Airchat.us !

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Good news to the real estate agents — at Botmakers , we produced a panacea to your biggest job headaches:

The Real Estate Agent’s Daily Struggle

Picture this: It’s 9 AM on a Tuesday. Your phone hasn’t stopped buzzing since you woke up. Three potential buyers want property details “ASAP.” You’re frantically preparing for an open house while simultaneously trying to respond to emails that piled up overnight. The seller of your newest listing keeps texting about showing feedback, and you haven’t even had your coffee yet.

Sound familiar?

For most real estate agents, this chaotic scenario isn’t the exception—it’s the daily norm. The modern real estate professional juggles countless responsibilities:

• Racing between properties with barely enough time to prepare compelling presentations
• Answering the same questions about square footage, school districts, and property taxes dozens of times a day
• Manually following up with every lead, often losing potential clients who expected faster responses
• Spending evenings inputting contact information from open house sign-in sheets instead of with family
• Creating engaging property showcases that stand out in an increasingly competitive market

In today’s fast-paced real estate environment, time is quite literally money. Every minute spent on repetitive administrative tasks is a minute not spent closing deals. Meanwhile, today’s buyers expect immediate responses and seamless experiences—expectations that are increasingly difficult to meet using traditional methods.

What if there was a way to reclaim those lost hours while simultaneously elevating your client experience?

• manual processing of numerous typical requests from the potential clients;
• difficulties in creating an impressive open house presentation;
• time-consuming introduction of your properties;
• the lack of interactive tools to retain a buyer’s attention and boost engagement with your proposals.

Meet our new Open House Bot for the retailors which is available on the most popular platforms:

🤖 ManyChat

🐵 MobileMonkey

🔥 ChatFuel

Instead of a hundred words, see it in action:

https://youtu.be/SsSQhPc6n_w

The Open House Bot’s features, which are the must-have in the digital arsenal of any real estate agent, include:

• A quick lead generation funnel. The bot guides a user through the engaging, 3-steps conversion flow.
• Unobtrusive but a fairly efficient follow-up . It allows you to return the users who haven’t performed a target action (contact you) by sending an automatic follow-up message (in compliance with the 24+1 Facebook Messenger rule).
• A comprehensive presentation of the property. Now, you don’t need to answer various buyer’s questions every now and again. The Open House Bot does it for you, better than any brochure, by offering a digital copy of the fact sheet available for download and a virtual tour right on Messenger.
• The agent’s bio section . Build client’s trust towards your persona, by displaying your valid personal and professional data, and social profiles.
• No paid integrations. Being primarily implemented on ManyChat, the bot functionality is absolutely free.
• Wide customization possibilities . You can easily customize the template to your real estate profile in minutes with no technical and coding expertise.

By incorporating this vivid chatbot into your workflow, you’ll see the sky-rocket expansion of your pipeline and an increase in the conversion rate. All these business goals can be easily achieved due to the well-thought-out conversation flows and simple & clear user interface.

Try it on your own right now! All you need is to select an appropriate platform in your Botmakers.com dashboard and connect the bot to the account.

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Find more helpful chatbots for your daily real estate activities in our templates base .

No matter what type of business you have, a follow-up email is a great way to establish communication and improve your business.

This tutorial shows how to send emails to your subscribers right inside your ManyChat bot in 5 steps. No Zapier, no Integromat, no any other integrations required. Let’s have a more detailed look at it…

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1. Create API Key in your SendGrid account

To create an API Key in your SendGrid account, go to ‘Settings’, choose ‘API Keys’ from the dropdown list and click ‘Create API Key’. Enter your Key name, choose ‘Full Access’ for Key permissions and click ‘Create & View’. 
Note: do not copy the key at this moment, we’ll do it a bit later.

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2. Collect Emails in ManyChat

In order to send emails from your ManyChat bot, you’ll need to collect them first. Add the flow that will ask users to leave an email and save it in a ManyChat custom field.

Once the flow is set up and published, don’t forget to start a conversation with your bot and enter at least one email in the ‘Get email flow’. It’s necessary to store some data in the ‘email’ ManyChat custom field.

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3. Setting Up SendGrid API in ManyChat

To create an external request node you need to go to ‘Actions’ and choose ‘External Request’ (Pro ManyChat requires). Once you click on ‘Add your request’ button it will open the configuration window. In the configuration window you will need to add Request Type, Request URL, Key and Value in the Headers exactly how it looks at the screenshot below:

Request Type: POST 
Request URL: https://api.sendgrid.com/v3/mail/send
Key: Authorization
Value: Bearer Your_SendGrid_API_Key_Here

☝️ Now is the time to copy the key from SendGrid.
Note: there should be a space between Bearer and Your SendGrid key.

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4. Setting Up JSON code in ManyChat

After you have set up your request type, you need to set Body fields. Go to the ‘Body’ tab and paste the JSON code. Get the code via the link:

https://docs.google.com/document/d/1YTSBLX1fYAn4vGnXcRofVG48f3VX53_GlP1aDsIdnoI/edit?usp=sharing

Note: you will need to manually add {{email}} custom field you created in your ManyChat earlier, and add your own data to “subject”, “email”, “name” and “value” fields.

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5. Finally! Testing the Request

When it is done you can test your request by going to ‘Response’ tab and click on ‘Test the request’. If everything is done correctly you will get 202 code like that 👇

👍 Congrats! You are all set 🎉

Combining bots and email is extremely powerful. We’re using the technology currently at Botmakers and now you can send emails to your bot subscribers effectively and with high open-rates as well.

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More and more businesses these days interesting in building chatbots. Using BotMakers data, we can see the variety of industries, where chatbots can be used, and the list is not ended with well-known E-commerce, Insurance, Healthcare, Sport, Retail and Hospitality.

There are plenty of companies (from small- to big-sized), who consider having their own chatbot. And it’s extremely important for all of them to find an experienced and reliable partner to make the final decision of starting the chatbot project.

We want to share 135 of the most promising bot development agencies, some of them are botmakers.net partners.

Please, find the newest Chatbot Developers Landscape below. We collected companies from all over the world and grouped them by continents and countries.

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The complete list of companies sorted by name

USA

1. 1080bots — San Francisco, USA;
2. Adexin — Philadelphia, USA;
3. AceBot — San Jose, USA;
4. Aspect (Tobias Goebel)— Boston, USA;
5. AviKaiDo, LLC (Alexander Khanukov) — Detroit, USA;
6. Azumo (Chike Agbai) — San Francisco, USA;
7. Bdost Inc — San Francisco, USA;
8. Black Ops (MATTHEW BLACK) — New York, USA;
9. Chatbot Development Group — Maryland, USA;
10. Clone (Max Pelzner) — Santa Monica, USA;
11. Converse (Tony Lucas) — San Francisco, USA;
12. Conversable (Andrew Busey) — Austin, USA;
13. convos — USA;
14. Headliner Labs — New York, USA;
15. HeyMojo — New York, USA;
16. Init.ai — New York, USA;
17. JSapp.me (Hervé Fulchiron) — USA;
18. Mindbowser— Amherst, USA;
19. MojiBots (Leo Kangin)— Los Angeles, USA;
20. msg.ai — Palo Alto, USA;
21. Nimblechat — New York, USA;
22. Nimblestack — New York, USA;
23. Persona — Los Angeles, USA;
24. PullString— San Francisco, USA;
25. Pypestream — New York, USA;
26. QwipIt— Boulder, USA;
27. Recime Team (Mehfuz Hossain)— Albuquerque, USA;
28. Reply.ai — New York, USA;
29. Sodima Solutions (Marcellus Gaag) — Miami, USA;
30. SpiceFactory — Cognito — San Francisco, USA;
31. Stanfy — San Francisco, USA;
32. Wade & Wendy— New York, USA;
33. Zebo — Palo Alto, USA;

CANADA

1. BinaryFog — Toronto, Canada;
2. deepPiXEL (Turgut Jabbarli) — Toronto, Canada;
3. Heyday — Montreal, Canada;
4. Massively (Russell Ward)— Toronto, Canada;

SOUTH AMERICA

1. Alan — Montevideo, Uruguay;
2. ChatClub — Brazil;
3. Comtodos (Eduardo de Souza) — Sao Paulo, Brazil;
4. Take — Belo Horizonte, Brazil;
5. E.life — Sao Paulo, Brazil;
6. Komunika — Sao Paulo, Brazil;
7. Labs357.com — Rafaela, Argentina;
8. Nama— Sao Paulo, Brazil;
9. Robos — Brazil;

EUROPE

1. 01tribe — Rome, Italy;
2. AI Developers — Manchester, UK;
3. Alfabot — Milan, Italy;
4. AlphaBlues (Indrek Vainu) — Tallinn, Estonia;
5. Appartika — Odessa, Ukraine;
6. BAM Mobile— London, England;
7. BiznessBots — Ternopil, Ukraine;
8. BOOM Marketing — Hungary;
9. BotBakery — Brussel, Belgium;
10. BotCube (Vasili Shinkorenko, Maxim Abramchuk) — Belarus;
11. botential — Graz, Austria;
12. Boters — Vilnius, Lithuania;
13. BotFather — Paris, France;
14. Botforit (Domenico Pascarella) — Caserta, Italy;
15. BotMakers (Alexander Gamanyuk) — Dnipro, Ukraine;
16. BotsCrew (Maksym Gladysh) — Lviv, Ukraine;
17. BotSupply (Giovanni Toschi) — Copenhagen, Denmark;
18. Bottr — UK;
19. Byte London (Jamie Kenny) — London, UK;
20. CartSkill (Indrek Vainu) — Tallinn, Estonia;
21. Catbots— Gdansk, Poland;
22. Chatbots Agency — Vienna, Austria;
23. ChatbotPH — Manila, Philippines;
24. chatOmate (Srini Janarthanam) — Edinburgh, Scotland;
25. Commons — Madrid, Spain;
26. craft ai team — Paris, France;
27. CraftWorkz (Viktor De Saeytyd, Deevid De Meyer) — Leuven, Belgium;
28. creative workline GmbH — Vienna, Austria;
29. DataRoot — Kyiv, Ukraine;
30. Digiteum Team — Minsk, Belarus;
31. E-bot7 (Fabian Beringer) — Munich, Germany;
32. eClick — Budapest, Hungary;
33. Enterprise Bot — London, England;
34. Facebots Messenger (Louis Delavaux) — Bordeaux, France;
35. Flashchat (Alex Chaidaroglou)— Athens, Greece;
36. GuestBot (Dimitris Tsirikos) — Piraeus, Greece;
37. Hapibot Studio (Marcos Carvalho)— Porto, Potrugal;
38. Heroesbots— Vienna, Austria;
39. HumaniseAI — London, UK;
40. HUMTECH (freddyinnovation) — Hamburg, Germany;
41. IndieLabs — Barcelona, Spain;
42. K2 Internet (Maciej Lipiec) — Warszawa, Poland;
43. knowhere Hamburg— Hamburg, Germany;
44. Levelbots — Sevilla, Spain;
45. Lazy Ants (Alex Demchenko) — Kharkiv, Ukraine;
46. Livebotter (Benjamin Duthoit) — Paris, France;
47. mbotzz — Tiel, Netherlands;
48. MFG Labs — Paris, France;
49. myclever — Manchester, England;
50. Online Marketing Factory — Vigo, Spain;
51. Oh my Bot! — Paris, France;
52. Social and mobile platforms — Belarus;
53. The Bot Agency — Bordeaux, France;
54. The Bot Platform (Rob Hampson) — London, UK;
55. The Chatbot Developers — London, England;
56. TheVentury — Vienna, Austria;
57. This is leif — Hamburg, Germany;
58. Toni.ai — Vienna, Austria;
59. Transylvania High Tech — Timisoara, Romania;
60. Webotit — Paris, France;
61. Witivio — Lyon, France;
62. Xbots — Greece;

AUSTRALIA

1. Autus — Sydney, Australia;
2. Xandra (Madeline Rawlings)— Maroochydore, Australia;

ASIA

1. Aitomation (Saad Ehsan) — Lahore, Pakistan;
2. Arvan Technologies Pvt. Ltd. — Maharashtra, India;
3. BotHook — Hyderabad, India;
4. Botpress — Dubai, UAE;
5. BotsNext (AMIT KUMAR)— Bangalore, India;
6. ChatterOn — India;
7. Contus Bot — Chennai, India;
8. Gotobot — Singapore;
9. Gupshup — Mumbai, India;
10. ICR.ai — Coimbatore, India;
11. KeyReply — Singapore;
12. Maruti Techlabs — Ahmedabad, India;
13. Morph.ai — Gurgaon, India;
14. Ozz — India;
15. Partybot — Singapore;
16. SOMETHING TECHIE — Catbalogan City, Philippines;
17. SuperFan — Mumbai, India;
18. Tiger Digital — Dhaka, Bangladesh;
19. Triskyl Technologies — Chennai, India;
20. Whatsquare — Hong Kong;

ISRAEL

1. 200 Apps — Jerusalem, Israel;
2. Chat Leap (Yoav Rimon) — Tel Aviv, Israel;
3. Spartans (Lior Romanowsky) — Tel Aviv, Israel;

AFRICA

1. Bots بالعربي— Cairo, Egypt;
2. BotsZA — Johannesburg, South Africa;

Updated 18.08.2017

1. Hecto, Inc – Japan;
2. Born (Stella Voutsina) – New York, USA;
3. DigiBot – South Africa;
4. Ubisend (Alex Debecker) – London, UK;
5. Convrg (Audrey Wu) – Los Angeles, USA;
6. Bots For Business (Katya Sarmiento) – Toronto, Canada;
7. Banter (Joe Beninato) – Los Altos, California;
8. Bothrs. (Gil Nimmegeers) – Ghent, Belgium;
9. Chatbot México (Luis Cosio) – Guadalajara, Mexico;
10. The Bot Makers (César Varela) – Montevideo, Uruguay;
11. Harlio (Ricardo Blumer Grobel) – South America;
12. Kon-Tiki Labs (Kontiki Labs) – Chandigarh, India;
13. Brndstr (@Brndstr) – Middle East;
14. inGenious.AI (Mark Chatterton) – Melbourne, Australia;
15. Jetlink (Jetlink) – Istanbul, Turkey;
16. Voxable (Voxable) — Austin, Texas;
17. Chatbots Life (Chatbots Life) — San Francisco, USA;

Need a Messenger bot?

Explore the list of Facebook Messenger chatbot templates to learn more about how different businesses use chatbots for lead generation, engagement and customer service.

Are you considering building a Facebook Messenger chatbot but unsure about the costs involved? Based on our extensive experience from January 2017 to October 2018, during which we and our partners developed over 800 Facebook Messenger chatbots, we’ve compiled a comprehensive guide to help you understand the pricing landscape. Whether you’re a small business or a large enterprise, knowing the typical costs associated with chatbot development will enable you to budget effectively and choose the right solution for your needs.

Please note the chatbot developers are often based outside of the United States, in Canada, Israel, Singapore and European countries like Ukraine, Austria and France.

Cost Breakdown for Facebook Messenger Chatbot Development

Understanding the various pricing tiers for chatbot development can help you make informed decisions. Here’s how much chatbot development agencies on Botmakers.net marketplace typically charge for designing, developing, testing, and training Facebook Messenger bots:

$1,500–$2,000. Simple Chatbots Without Coding

• Built using platforms like Chatfuel or ManyChat.
• Often utilize prebuilt templates.
• May include API integration for generating AI images.
• Example: ResumeCopilot is an AI-powered resume assistant that helps job seekers craft effective resumes by providing personalized guidance and actionable feedback.

$2,000–$3,000. Chatbots with Zapier Integrations

• ManyChat chatbots integrated with Zapier.
• Includes integrations with tools like Google Calendar, Google Drive, Google Forms, and Google Sheets.
• Adds complexity without requiring custom coding.

$3,000–$6,000. Chatbots with Custom Back-End

• ManyChat chatbots with some custom coding.
• Development typically completed in less than 1–2 weeks.
• Enhanced functionality tailored to specific business needs.

$6,000–$10,000. Chatbots with Complex Back-End Integrations

• Integrated with existing systems and databases.
• Usually developed by a team of 2–3 people.
• Includes advanced features such as user authentication and data synchronization.

$10,000–$15,000. Advanced Chatbots with Third-Party Integrations

• Connected to CRMs and sales tools like Microsoft Dynamics CRM, ClickFunnels, HubSpot, MailChimp, Marketo, Infusionsoft.
• Integrated with eCommerce platforms like Squarespace, WooCommerce, Magento, BigCommerce, Unbounce, Mailgun.
• Offers seamless data flow between various business tools.

$15,000–$40,000. AI Customer Support and Service Chatbots

• Automate 20–50 frequently asked questions (FAQs).
• Used with sales and customer service tools like Intercom, Olark, Zendesk, Help Scout.
• Provides intelligent responses and improves customer service efficiency.

$40,000–$100,000. Enterprise-Level AI Chatbots

• Designed for small and mid-size enterprises.
• Require a team of 4–6 members.
• Development takes at least 2–3 months.
• Chatbots are part of a larger system with custom dashboards, web views, and more.
• Offers comprehensive solutions tailored to complex business requirements.

Too Expensive? Use Bot Templates

If creating a chatbot from scratch seems too costly or time-consuming, consider using pre-built Messenger bot templates available on the Botmakers.net marketplace. Here’s why bot templates might be the perfect solution for you:

• Launch a Fully Featured Bot in Just a Few Hours: Quickly get your chatbot up and running without the need for extensive development time.
• No Coding Required: Customize your chatbot effortlessly without needing to hire developers.
• 1,000+ Integrations Available with Zapier: Seamlessly connect your bot to a wide range of AI applications and services.
• Developer Assistance Available: If you need additional customization, you can request help from the developer who provided the template for an extra fee.
• Developer’s License: Ideal if you plan to resell bots created from a template, expanding your business opportunities.

Recently Sam Altman from Y Combinator announced a new online Startup School. It’s a 10-week massively open online course (MOOC). The idea is to teach everyone how to start a startup and help them along the way with guidance from people who’ve started companies.

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Startup School will have guest speakers covering a wide variety of topics, including Alan Kay, Jan Koum (WhatsApp), Patrick Collison (Stripe), Steve Huffman (Reddit), Jason Lemkin (SaaStr), Harry Zhang (Lob), Dalton Caldwell (YC), Emmett Shear (Twitch), Adam D’Angelo (Quora), Alex Schultz (Facebook), Tracy Young (PlanGrid), Michael Seibel (YC), Kirsty Nathoo (YC), Vinod Khosla (Khosla Ventures), Ali Rowghani (YC), Jess Lee (Sequoia), Aaron Harris (YC).

Our company was one of a few chatbot startups enrolled in the course. Each group has it’s own mentor, usually it’s a founder of a well-known company or YC alumni. We were lucky to Ryan Bubinski from codecademy.

The total number of messaging and voice chatbot startups is close to 50. Here I picked up the ones I like the most, including BotMakers we’re working on.

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1. Reply.ai

Reply is an enterprise-level bot building platform that allows to build and manage cross-platform bots across all messaging apps. No coding required. Reply.ai is being used by KIA, Nike, VAIO, HP and others, and the platform integrates with major customer support platforms such as FreshDesk, Zendesk and LiveChat.
 — — — — — —
Founders Omar Pera, Pablo Pera, Erica Mannherz, Clara de Soto

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2. chatShopper

chatShopper is Europes first fashion chatbot on Facebook Messenger. “We believe in conversational interfaces and investing in NLU and deep learning to make fashion shopping via chat an awesome experience,” says Antonia Ermacora, a chatShopper co-founder.
 — — — — — — — — — — — — 
Founders Antonia Ermacora and Matthias Nannt

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3. Botmakers

Botmakers is a Chatbot Template Marketplace offers 110+ plug and play chatbot templates for platforms like ManyChat, MobileMonkey and Chatfuel. Botmakers is focused on Facebook Messenger bots only.
 — — — — — — — — — — — — 
Founders Alexander Gamanyuk (https://tarta.ai/)

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4. botanalytics

Conversational analytics for bots. It helps bot owners to improve their human-to-bot communication with identifying bottlenecks, filtering conversations, and understanding engagement.
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Founders İlker Köksal and Enis Gayretli

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5. Weps

First to make building a website as easy as talking to a computer. Just answer a couple of questions and Weps AI will build your website instantly.
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Founders Juhan Kaarma, Jorma Jürisaar and Taavid Mikomägi

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6. BusyBot

Australian Busybot makes it easy to manage your personal and team tasks, directly in Slack. Turn any message into a task, and Busybot will automatically organize everything by channel. Quick. Simple. Efficient.
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Founders Damian Bramanis

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7. Tars

Tars is building a new way to collect user input(e.g filling forms) on mobile. It is a chat like interface where a user replies to one question at a time and his reply is the input. 
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Founders Ish Jindal and Vinit Agrawal

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8. Botsociety

Botsociety is a tool to design, preview and export your chatbot. It takes just 4 clicks to start designing your bot conversation. Pick a name, a profile picture, and you are ready to go! Make an AVI or GIF out of your sketch.
You can now use it for marketing materials, promoted Facebook posts, and more!
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Founders Vittorio Banfi and Stefano Tombolini

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9. Hunch

Hunch constantly monitors and analyzes complex acquisition, retention, referral, and revenue data and sends you reports in easy to understand language.
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Founders Sinisa Rakovic, Nikola Milenković and Aleksandar Djenic

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10. Rocco

Rocco works directly with your team on slack as your AI-powered social media marketing assistant. Rocco handles content creation and posts for you on all your social media networks.
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Founders Shannon Lee and Sherman Lee

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11. Botsify

Botsify helps you create facebook messenger chatbot for your business/page without any coding. You can rule based chatbots with our technology with no technical knowledge required.

Technical mates can go extra mile with Botsify by integrating their APIs with Chatbot to make it extra effective. People can do analysis on different behavior of their bots and also run marketing campaigns to the people who opted for it.
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Founders Usama Noman

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Chatbot Companies Overview. Who is Growing in March 2017
Recently SimilarWeb made its March 2017 data is available. A few new services like like Recime entered the market…blog.botmakers.net

Chatbot companies. Who is growing in January 2017?
Starting from today the January 2017 data by SimilarWeb is available. A few new websites like Bot Stash joined the…blog.botmakers.net

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